Generative Artificial Intelligence (AI) and Pedagogy Bibliography and Resource List

A cute humanoid robot writing with pen and paper. Created with Stable Diffusion.

Artificial intelligence (AI) technologies are rapidly becoming a de facto part of modern life and work at a pace that feels much faster than Alvin Toffler imagined for his historical moment in Future Shock (1970). Unlike some naysayers, I think that there is a lot of potential in AI technologies if we use this moment to assert agency and work toward democratizing the technology for the benefit of all rather than the supremacy of the few. This is the moment where we all need to seize William Gibson’s aphorism, “the street finds its own use for things.” This is especially true for the new kinds of generative AI technologies, including ChatGPT, Stable Diffusion, and others. As I’m reading about and using AI technologies, I will share my reading and link resources on this page for others to use. A primary focus will be on pedagogy and teaching, but it includes a lot of information on background, use cases, AI and its effects on other disciplines, and legal/ethical issues, too.

The bibliography and resource list is organized as follows:

  1. Pedagogy and Teaching with AI
  2. Generative AI Technologies
    1. Generative AI – General
    2. AI Text Generation
    3. AI Image Generation
    4. AI Music Generation
  3. Additional AI Resources
    1. Background, Historical Context, and Debates
    2. Ethical and Legal Issues of AI
    3. AI Textbooks
    4. AI Encyclopedia and Reference
  4. AI Applications in Various Fields and Industries
    1. General AI Applications
    2. AI and Biology
    3. AI and Business
    4. AI and Civil Engineering
    5. AI and Communication
    6. AI and Computing Infrastructure
    7. AI and Consciousness
    8. AI and Cybersecurity
    9. AI and Data Science
    10. AI and Design
    11. AI and Earth Sciences
    12. AI and Engineering
    13. AI and Finance
    14. AI and Healthcare
    15. AI and Journalism
    16. AI and Mathematics
    17. AI and Physics
    18. AI and Policing
    19. AI and Programming
    20. AI and Project Management
    21. AI and Religion
    22. AI and Warfare
  5. Online Resource List

Pedagogy and Teaching with AI

AI on Campus: Its Impact and Implications. The Chronicle of Higher Education, 2020, https://connect.chronicle.com/rs/931-EKA-218/images/AIonCampusv6.pdf.

Aoun, Joseph E. Robot-Proof: Higher Education in the Age of Artificial Intelligence. MIT Press, 2017.

Bacalja, Alexander, Catherine Beavis, and Annemaree O’Brien. “Shifting landscapes of digital literacy.” Australian Journal of Language and Literacy, vol. 45, no. 2, June 2022, pp. 253+. Gale Academic OneFile, link.gale.com/apps/doc/A728086026/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=fd6fef66. Accessed 10 Sept. 2023.

Bailey, John. “AI in Education: The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise.” Education Next, vol. 23, no. 4, fall 2023, pp. 29+. Gale Academic OneFile Select, link.gale.com/apps/doc/A766115833/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=a9db568b. Accessed 7 Jan. 2024.

Barrett, Alex, and Austin Pack. “Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process.” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A772271478/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=612da2d2. Accessed 11 Jan. 2024.

Bart-Addison, Samantha. “The Path to INNOVATION: Exploring the Potential of Generative AI in the Writing Classroom.” Literacy Today (2411-7862), vol. 41, no. 2, Oct. 2023, pp. 58–59. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=hus&AN=172795158&site=ehost-live&scope=site.

Bearman, Margaret, and Rola Ajjawi. “Learning to Work with the Black Box: Pedagogy for a World with Artificial Intelligence.” British Journal of Educational Technology, vol. 54, no. 5, Sept. 2023, pp. 1160–73. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1111/bjet.13337.

Bieger, Thomas, and Martin Kolmar. “Examining, Teaching, and Learning in the Age of Generative AI: A First Assessment of the Consequences for Higher Education.” Global Focus: The EFMD Business Magazine, vol. 17, no. 2, May 2023, pp. 22–27. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=bth&AN=164595870&site=ehost-live.

Bierman, Dick, Joost Breuker, and Jacobijn Sandberg, editors. Artificial Intelligence and Education: Proceedings of the 4th International Conference on AI and Education, 24-26 May 1989, Amsterdam, Netherlands. IOS Press, 1989.

Birenbaum, Menucha. “The Chatbots’ Challenge to Education: Disruption or Destruction?” Education Sciences, vol. 13, no. 7, July 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A759040553/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=a083fdf9. Accessed 11 Jan. 2024.

Bowen, José Antonio and C. Edward Watson. Teaching with AI: A Practical Guide to a New Era of Human Learning. John Hopkins UP, 2024.

Burkhard, Michael. “Student Perceptions of AI-Powered Writing Tools: Towards Individualized Teaching Strategies.” International Association for Development of the Information Society, Jan. 2022. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=eric&AN=ED626893&site=ehost-live&scope=site.

Byrd, Antonio. “Truth-Telling: Critical Inquiries on LLMs and the Corpus Texts That Train Them.” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 135–42. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985267&site=ehost-live&scope=site.

Chan, Cecilia Ka Yuk. “A Comprehensive AI Policy Education Framework for University Teaching and Learning.” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A756246794/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=4ee6e0ac. Accessed 10 Sept. 2023.

Chan, Cecilia Ka Yuk, and Tom Colloton. Generative AI in Higher Education: The ChatGPT Effect. Routledge, 2024, https://www.taylorfrancis.com/books/oa-mono/10.4324/9781003459026/generative-ai-higher-education-cecilia-ka-yuk-chan-tom-colloton.

Chan, Cecilia Ka Yuk, and Wenjie Hu. “Students’ Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education.” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A757412215/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=d5d3d3b2. Accessed 10 Sept. 2023.

Chiu, Thomas K. F. “The Impact of Generative Ai (Genai) on Practices, Policies and Research Direction in Education: A Case of Chatgpt and Midjourney.” Interactive Learning Environments, Sept. 2023. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1080/10494820.2023.2253861.

Chun, Jon, and Katherine Elkins. “The Crisis of Artificial Intelligence: A New Digital Humanities Curriculum for Human-Centred AI.” International Journal of Humanities and Arts Computing, vol. 17, no. 2, 2023, pp. 147–67, https://doi.org/10.3366/ijhac.2023.0310.

Churi, Prathamesh Padmakar, Shubham Joshi, Mohamed Elhoseny, and Amina Omrane. Artificial Intelligence in Higher Education: A Practical Approach. CRC Press, 2023.

Clark, Donald. Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development. 2nd ed., Kogan Page, 2024.

Creely, Edwin, Tiffani Apps, Karley Beckman and Lucinda McKnight. “Chat About ChatGPT.” Literacy Learning: The Middle Years, vol. 31, no. 2, June 2023, pp. 35+. Gale Academic OneFile, link.gale.com/apps/doc/A752460532/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=bed740a9. Accessed 25 June 2023.

Critical Thinking and Ethics in the Age of Generative AI in Education: A Critical Look into the Future of Learning. USC Center for Generative AI and Society, 2024, https://rossier.usc.edu/documents/usc-center-generative-ai-and-society-report.

Devedžić, Vladan. “Web Intelligence and Artificial Intelligence in Education.” Journal of Educational Technology & Society, vol. 7, no. 4, 2004, pp. 29–39. JSTOR, http://www.jstor.org/stable/jeductechsoci.7.4.29. Accessed 11 Sept. 2023.

Doroudi, Shayan. “The Intertwined Histories of Artificial Intelligence and Education.” International Journal of Artificial Intelligence in Education, 4 Oct. 2022. https://doi-org.citytech.ezproxy.cuny.edu/10.1007/s40593-022-00313-2.

Dugan, Holly, and Dolsy Smith. “Untimely Models.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 516–521. https://www.cambridge.org/core/journals/pmla/article/untimely-models/D3C755CC9C173C830616CA915EA74846?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Elkhatat, Ahmed M. “Evaluating the authenticity of ChatGPT responses: a study on text-matching capabilities.” International Journal for Educational Integrity, vol. 19, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A759221369/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=fc667630. Accessed 11 Jan. 2024.

Elkhatat, Ahmed M., Khaled Elsaid, and Saeed Almeer. “Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text.” International Journal for Educational Integrity, vol. 19, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A762972111/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=9591127a. Accessed 11 Jan. 2024.

Elkins, Katherine. “A(I) University in Ruins: What Remains in a World with Large Language Models?” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 559–565. https://www.cambridge.org/core/journals/pmla/article/ai-university-in-ruins-what-remains-in-a-world-with-large-language-models/FBA87E02CD1813805F54AE3B79FC79B3?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Escalante, Juan, Austin Pack, and Alex Barrett. “AI-generated feedback on writing: insights into efficacy and ENL student preference.” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A770485272/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=ebdbb19d. Accessed 11 Jan. 2024.

Exploring AI Pedagogy: A Community Collection of Teaching Reflections. MLA-CCCC Joint Task Force on AI and Writing, 2023, https://exploringaipedagogy.hcommons.org/.

Fisk, Ryan. “The Rise of ChatGPT and Generative A.I. and What it Means for Schools.” AASA Journal of Scholarship & Practice, vol. 20, no. 1, spring 2023, pp. 37+. Gale Academic OneFile, link.gale.com/apps/doc/A746167490/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=620aa3f1. Accessed 25 June 2023.

Fitzpatrick, Daniel, Amanda Fox, and Brad Weinstein. The AI Classroom: The Ultimate Guide to Artificial Intelligence in Education. TeacherGoals Publishing, 2023.

Furze, Leon. Practical AI Strategies: Engaging with Generative AI in Education. Amba Press, 2024.

Fyfe, Paul. “How to Cheat on Your Final Paper: Assigning AI for Student Writing.” AI & Society, vol. 38, no. 4, Aug. 2023, pp. 1395–405. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1007/s00146-022-01397-z.

Gallagher, John R. “Lessons Learned from Machine Learning Researchers about the Terms ‘Artificial Intelligence’ and ‘Machine Learning.’” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 149–54. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985269&site=ehost-live&scope=site.

Gillani, Nabeel, Rebecca Eynon, Catherine Chiabaut, and Kelsey Finkel. “Unpacking the ‘Black Box’ of AI in Education.” Educational Technology & Society, vol. 26, no. 1, 2023, pp. 99–111. JSTOR, https://www.jstor.org/stable/48707970. Accessed 11 Sept. 2023.

Graham, S.Scott. “Post-Process but Not Post-Writing: Large Language Models and a Future for Composition Pedagogy.” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 162–68. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985271&site=ehost-live&scope=site.

Grose, Thomas K. “Disruptive Influence.” ASEE Prism, vol. 32, no. 3, 2023, pp. 14–17. JSTOR, https://www.jstor.org/stable/48734149. Accessed 11 Sept. 2023.

Herder, Liann. “AI: A BRILLIANT BUT BIASED TOOL FOR EDUCATION.” Diverse Issues in Higher Education, vol. 40, no. 11, 14 Sept. 2023, pp. 20+. Gale Academic OneFile Select, link.gale.com/apps/doc/A767620482/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=3b65c05f. Accessed 7 Jan. 2024.

Hervieux, Sandy and Amanda Wheatley, editors. The Rise of AI: Implications and Applications of Artificial Intelligence in Academic Libraries. Association of College and Research Libraries, 2022.

Holmes, Wayne and Kaska Porayska-Pomsta. The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates. Routledge, 2023.

Huang, Junting. “Large Language Games, Therapeutic or Otherwise.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 522–526. https://www.cambridge.org/core/journals/pmla/article/large-language-games-therapeutic-or-otherwise/7E73B90381169CB2D77A755D4C7495B9?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Ilieva, Galina, Tania Yankova, Stanislava Klisarova-Belcheva, Angel Dimitrov, Marin Bratkov, and Delian Angelov. “Effects of Generative Chatbots in Higher Education.” Information (2078-2489), vol. 14, no. 9, Sept. 2023, p. 492. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.3390/info14090492.

Jamieson, Sandra. “The AI ‘Crisis’ and A (Re)turn to Pedagogy.” Composition Studies, vol. 50, no. 3, Fall 2022, pp. 153-157.

Johinke, Rebecca, et al. “Reclaiming the Technology of Higher Education for Teaching Digital Writing in a Post—pandemic World.” Journal of University Teaching & Learning Practice, vol. 20, no. 2, Mar. 2023, pp. 1–16. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.53761/1.20.02.01.

Johnson, Gavin P. “Don’t Act Like You Forgot: Approaching Another Literacy ‘Crisis’ by (Re)Considering What We Know about Teaching Writing with and through Technologies.” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 169–75. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985272&site=ehost-live&scope=site.

Kahn, Jennifer B., Lee Melvin Peralta, Laurie H. Rubel, Vivian Y. Lim, Shiyan Jiang, Beth Herbel-Eisenmann. “Notice, Wonder, Feel, Act, and Reimagine as a Path Toward Social Justice in Data Science Education.” Educational Technology & Society, vol. 25, no. 4, 2022, pp. 80–92. JSTOR, https://www.jstor.org/stable/48695983. Accessed 11 Sept. 2023.

Karakose, Turgut. “The Utility of ChatGPT in Educational Research–Potential Opportunities and Pitfalls.” Educational Process: International Journal, vol. 12, no. 2, June 2023, pp. 7+. Gale Academic OneFile, link.gale.com/apps/doc/A752177181/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=42b7bd24. Accessed 25 June 2023.

Karakose, Turgut, and Tijen Tulubas. “How Can ChatGPT Facilitate Teaching and Learning: Implications for Contemporary Education.” Educational Process: International Journal, vol. 12, no. 4, Dec. 2023, pp. 7+. Gale Academic OneFile, link.gale.com/apps/doc/A773565719/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=b2ce2729. Accessed 11 Jan. 2024.

Khan, Salman. Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing). Viking, 2024.

Kirschenbaum, Matthew, and Rita Raley. “AI and the University as a Service.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 504–515. https://www.cambridge.org/core/journals/pmla/article/ai-and-the-university-as-a-service/65E10EB58786CDAAC762DD23CC5D4D9B?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Kleiman, Glenn M. and GPT-3. AI in Writing Class: Editor, Co-Author, Ghostwriter, or Muse? June 2022. acceleratelearning.stanford.edu/app/uploads/2022/07/AI-in-Writing-Class-Editor-Co-Author-Ghostwriter-or-Muse-1.pdf

Knox, Jeremy, Yuchen Wang, and Michael Gallagher, editors. Artificial Intelligence and Inclusive Education: Speculative Futures and Emerging Practices. Springer, 2019.

Koenig, Melissa E. Love, and Colleen Mandell. “A New Metaphor: How Artificial Intelligence Links Legal Reasoning and Mathematical Thinking.” Marquette Law Review, vol. 105, no. 3, Spring 2022, pp. 559–601. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=157554889&site=ehost-live&scope=site.

Kong, Siu-Cheung, William Man-Yin Cheung, and Guo Zhang. “Evaluating an Artificial Intelligence Literacy Programme for Developing University Students’ Conceptual Understanding, Literacy, Empowerment and Ethical Awareness.” Educational Technology & Society, vol. 26, no. 1, 2023, pp. 16–30. JSTOR, https://www.jstor.org/stable/48707964. Accessed 11 Sept. 2023.

Kooli, Chokri. “Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions.” Sustainability, vol. 15, no. 7, Mar. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A746948584/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=5f296271. Accessed 25 June 2023.

Kurni, Muralidhar, Mujeeb Shaik Mohammed, and Srinivasa K G. A Beginner’s Guide to Introduce Artificial Intelligence in Teaching and Learning. Springer, 2023.

Labadze, Lasha, Maya Grigolia, and Lela Machaidze. “Role of AI chatbots in education: systematic literature review.” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A770962105/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=ccea018d. Accessed 11 Jan. 2024.

Lahby, Mohamed, editor. Empowering Digital Education with ChatGPT: From Theoretical to Practical Applications. CRC Press, 2025.

Lajoie, Susanne P. and Martial Vivet. Artificial Intelligence in Education: Open Learning Environments: New Computational Technologies to Support Learning, Exploration and Collaboration. IOS Press, 2002.

Lan, Yu-Ju, and Nian-Shing Chen. “Teachers’ Agency in the Era of LLM and Generative AI: Designing Pedagogical AI Agents.” Educational Technology & Society, vol. 27, no. 1, 2024, p. I–XVIII. JSTOR, https://www.jstor.org/stable/48754837. Accessed 7 Jan. 2024.

Langreo, Lauraine. “Beyond ChatGPT: The Other AI Tools Teachers Are Using.” Education Week, vol. 43, no. 5, Sept. 2023, p. 13. EBSCOhost, https://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=172037070&site=ehost-live&scope=site.

Laquintano, Timothy, and Annette Vee. “AI and the Everyday Writer.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 527–532. https://www.cambridge.org/core/journals/pmla/article/ai-and-the-everyday-writer/09BA246B9E631160A3F084C9E7CF4C27?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Ledesma, Eduardo. “Critical AI Studies and the Foreign Language Disciplines: What Is to Be Done?” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 533–540. https://www.cambridge.org/core/journals/pmla/article/critical-ai-studies-and-the-foreign-language-disciplines-what-is-to-be-done/699E9334D331206A6CBAEBAFD392BB03?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Lee, Jonna and Meryem Yilmaz Soylu. ChatGPT and Assessment in Higher Education. Mar. 2023. c21u.gatech.edu/sites/default/files/publication/2023/03/C21U ChatGPT White Paper_Final.pdf.

Lee, Raymond S. T. Artificial Intelligence in Daily Life. Springer, 2020.

Li, Shijin, and Xiaoqing Gu. “A Risk Framework for Human-Centered Artificial Intelligence in Education: Based on Literature Review and Delphi–AHP Method.” Educational Technology & Society, vol. 26, no. 1, 2023, pp. 187–202. JSTOR, https://www.jstor.org/stable/48707976. Accessed 11 Sept. 2023.

Lo, Chung Kwan. “What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature.” Education Sciences, vol. 13, no. 4, Apr. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A751870904/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=55f23685. Accessed 25 June 2023.

Long, Duri and Brian Magerko. “What is AI Literacy? Competencies and Design Considerations.” Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, 2020. aiunplugged.lmc.gatech.edu/wp-content/uploads/sites/36/2020/08/CHI-2020-AI-Literacy-Paper-Camera-Ready.pdf.

Martin, Meredith. “Command Lines for the Humanities.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 541–547. https://www.cambridge.org/core/journals/pmla/article/command-lines-for-the-humanities/097F959E6971063D05B085E698354BA2?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

McKnight, Lucinda. “Electric Sheep? Humans, Robots, Artificial Intelligence, and the Future of Writing.” Changing English, vol. 28, no. 1, Jun. 2021, pp. 1-14, https://doi.org/10.1080/1358684X.2021.1941768.

McMurtrie, Beth. “ChatGPT Is Everywhere: Love it or hate it, academics can’t ignore the already pervasive technology.” The Chronicle of Higher Education, vol. 69, no. 15, 31 Mar. 2023, pp. 32+. Gale Academic OneFile Select, link.gale.com/apps/doc/A757640057/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=d9f8d238. Accessed 7 Jan. 2024.

—.”How Artificial Intelligence is Changing Teaching.” The Chronicle of Higher Education. 12 Aug. 2018, http://www.chronicle.com/article/how-artificial-intelligence-is-changing-teaching/. Accessed 14 Apr. 2023.

McNamara, Danielle, Scott Crossley, and Rod Roscoe. “Natural Language Processing in an Intelligent Writing Strategy Tutoring System.” Behavior Research Methods, vol. 45, no. 2, June 2013, pp. 499–515. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.3758/s13428-012-0258-1.

Mertz, David Q. Regular Expression Puzzles and AI Coding Assistants: 24 Puzzles Solved by the Author, with and without assistance from Copilot, ChatGPT and More. Manning, 2023.

Miller, Robin Elizabeth. “Pandora’s Can of Worms: A Year of Generative AI in Higher Education.” portal: Libraries and the Academy, vol. 24 no. 1, 2024, p. 21-34. Project MUSE, https://doi.org/10.1353/pla.2024.a916988.

Morrison, Aimée. “Meta-Writing: AI and Writing.” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 155–61. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985270&site=ehost-live&scope=site.

Murphy Kelly, Samantha. “Schools are Teaching ChatGPT, So Students Aren’t Left Behind.” CNN.com, 19 Aug. 2023, https://www.cnn.com/2023/08/19/tech/schools-teaching-chagpt-students/index.html.

Nash, Brady L., Troy Hicks, Merideth Garcia, William Fassbender, Donna Alvermann, and Stefani Boutelier. “Artificial Intelligence in English Education: Challenges and Opportunities for Teachers and Teacher Educators.” English Education, vol. 55, no. 3, Apr. 2023, pp. 201+. Gale Academic OneFile, link.gale.com/apps/doc/A760851948/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=09b4ecac. Accessed 10 Sept. 2023.

Novoa, Andrés González, and Pedro Perera Méndez. “How to Imagine a New Community from Science Fiction: A Pedagogical Dramaturgy of Silence, for a Slow Education.” Education Sciences, vol. 13, no. 8, Aug. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A762474753/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=bb7b9d8c. Accessed 10 Sept. 2023.

O’Shea, Tim and John Self. Learning and Teaching with Computers: Artificial Intelligence in Education. The Harvester Press, 1983.

Overono, Acacia L. and Annie S. Ditta. “The Rise of Artificial Intelligence: A Clarion Call for Higher Education to Redefine Learning and Reimagine Assessment.” College Teaching, 14 Jul. 2023, https://doi.org/10.1080/87567555.2023.2233653.

Owusu-Ansah, Alfred L. “Defining Moments, Definitive Programs, and the Continued Erasure of Missing People.” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 143–48. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985268&site=ehost-live&scope=site.

Oxtoby, David W., Danielle Allen, and Jeffrey Brown. “The Humanities and the Rise of the Terabytes.” Bulletin of the American Academy of Arts and Sciences, vol. 76, no. 3, 2023, pp. 30–41. JSTOR, https://www.jstor.org/stable/27216739. Accessed 11 Sept. 2023.

Perkins, Mike. “Academic Integrity Considerations of AI Large Language Models in the Post-Pandemic Era: ChatGPT and Beyond.” Journal of University Teaching & Learning Practice, vol. 20, no. 2, Mar. 2023, pp. 1–24. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.53761/1.20.02.07.

Perlow, Seth. “Generative Theories, Pretrained Responses: Large AI Models and the Humanities.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 548–552. https://www.cambridge.org/core/journals/pmla/article/generative-theories-pretrained-responses-large-ai-models-and-the-humanities/580FDCD97B52C902A6328DA9F3D5FFE6?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Phillips, Gerald M., and Bradley R. Erlwein. “Composition on the Computer: Simple Systems and Artificial Intelligence.” Communication Quarterly, vol. 36, no. 4, Sept. 1988, pp. 243–61. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=eric&AN=EJ381767&site=ehost-live&scope=site.

Piercey, Donnie. 50 Strategies for Integrating AI into the Classroom. Shell Education, 2024.

Pike, Dale, Brooke McGowin, Aaron Bond, Larry Cox II, and Daron Williams. “Framing Generative AI in Education with the GenAI Intent and Orientation Model.” Educause Review, 6 Jun. 2024, https://er.educause.edu/articles/2024/6/framing-generative-ai-in-education-with-the-genai-intent-and-orientation-model.

Pratschke, B. Mairéad. Generative AI and Education: Digital Pedagogies, Teaching Innovation and Learning Design. Springer, 2024.

“Principles on Use of AI in Education.” Education Journal, no. 532, July 2023, p. 9. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164824342&site=ehost-live&scope=site.

Rahman, Md. Mostafizer, and Yutaka Watanobe. “ChatGPT for Education and Research: Opportunities, Threats, and Strategies.” Applied Sciences, vol. 13, no. 9, May 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A752310726/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=779b10f4. Accessed 25 June 2023.

“Rethink Your Resistance to ChatGPT: AI tools can meet faculty concerns about ethics and equity.” The Chronicle of Higher Education, vol. 70, no. 8, 8 Dec. 2023, pp. 36+. Gale Academic OneFile Select, link.gale.com/apps/doc/A778346717/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=082712e0. Accessed 7 Jan. 2024.

Roumate, Fatima, editor. Artificial Intelligence in Higher Education and Scientific Research: Future Development. Springer, 2023.

Ruiz-Rojas, Lena Ivannova, Patricia Acosta-Vargas, Javier De-Moreta-Llovet and Mario Gonzalez-Rodriguez. “Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix.” Sustainability, vol. 15, no. 15, July 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A760617122/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=1bd532a6. Accessed 10 Sept. 2023.

Sano-Franchini, Jennifer, Megan McIntyre, and Maggie Fernandes. “Refusing GenAI in Writing Studies: A Quickstart Guide.” Refusing GenAI in Writing Studies, Nov. 2024. https://refusinggenai.wordpress.com/.

Shah, Priten. AI and the Future of Education: Teaching in the Age of Artificial Intelligence. John Wiley & Sons, 2023.

Singer, Natasha. “A.I. Program Aims to Break Barriers for Female Students.” The New York Times, 15 May 2024, https://www.nytimes.com/2024/05/15/technology/ai-internships-female-students-cornell-mit-ucla.html.

—. “How teachers and students feel about A.I.” The New York Times, 24 Aug. 2023, https://www.nytimes.com/2023/08/24/technology/how-teachers-and-students-feel-about-ai.html.

Snipes, Shane. Transforming Education with AI: Guide to Understanding and Using ChatGPT in the Classroom. Ai4 Press, 2023.

Stanton, Courtney. “A Dis-Facilitated Call for More Writing Studies in the New AI Landscape; or, Finding Our Place Among the Chatbots.” Composition Studies, vol. 51, no. 1, Spring 2023, pp. 182–86. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985274&site=ehost-live&scope=site.

Supiano, Beckie. “Will ChatGPT Change How Professors Assess Learning? It won’t be easy without their colleges’ support.” The Chronicle of Higher Education, vol. 69, no. 18, 12 May 2023, pp. 20+. Gale Academic OneFile Select, link.gale.com/apps/doc/A750862824/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=7e162250. Accessed 7 Jan. 2024.

Teel, Zoë (Abbie), Ting Wang, and Brady Lund. “ChatGPT Conundrums: Probing Plagiarism and Parroting Problems in Higher Education Practices.” College & Research Libraries News, vol. 84, no. 6, June 2023, pp. 205–08. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.5860/crln.84.6.205.

Terry, Owen Kichizo. “I’m a Student. We’re Already Using ChatGPT: No professor or software could ever pick up on it.” The Chronicle of Higher Education, vol. 69, no. 19, 26 May 2023, pp. 38+. Gale Academic OneFile Select, link.gale.com/apps/doc/A752396511/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=acdc2b69. Accessed 7 Jan. 2024.

Tlili, Ahmed, Boulus Shehata, Michael Agyemang Adarkwah, Aras Bozkurt, Daniel T. Hickey and Ronghuai Huang. “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education.” Smart Learning Environments, vol. 10, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A738283834/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=62c8b4c4. Accessed 25 June 2023.

Tu, Yun-Fang. “Roles and Functionalities of ChatGPT for Students with Different Growth Mindsets: Findings of Drawing Analysis.” Educational Technology & Society, vol. 27, no. 1, 2024, pp. 198–214. JSTOR, https://www.jstor.org/stable/48754851. Accessed 7 Jan. 2024.

U.S. Department of Education, Office of Educational Technology. Designing for Education with
Artificial Intelligence: An Essential Guide for Developers
. 2024, https://tech.ed.gov/designing-for-education-with-artificial-intelligence/.

Vadde, Aarthi. “Inside and Outside the Language Machines.” PMLA/Publications of the Modern Language Association of America 139.3 (2024): 553–558. https://www.cambridge.org/core/journals/pmla/article/inside-and-outside-the-language-machines/45F30AC1D7711DB36DF8A852A0525623?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark.

Viner, Jonathan. “Enhancing educational Experiences: How Can Generative AI Tools Support School Librarians?” School Librarian, vol. 71, no. 3, autumn 2023, p. 29. Gale Academic OneFile Select, link.gale.com/apps/doc/A766964420/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=7272efb5. Accessed 7 Jan. 2024.

Wang, Faming, Ronnel B. King, Ching Sing Chai, and Ying Zhou. “University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy-value beliefs.” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, Dec. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A761714819/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=fe419d57. Accessed 11 Jan. 2024.

Wang, Lu. “Students’ Psychology for Teaching Design with Artificial Intelligence Approaches for Enhancing Teaching.” Soft Computing – A Fusion of Foundations, Methodologies & Applications, May 2023, pp. 1–18. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1007/s00500-023-08480-7.

Yang, Hong. “How I Use ChatGPT Responsibly in My Teaching.” Nature, 12 Apr. 2023, www.nature.com/articles/d41586-023-01026-9.

Yue, Miao, Morris Siu-Yung Jong and Yun Dai. “Pedagogical Design of K-12 Artificial Intelligence Education: A Systematic Review.” Sustainability, vol. 14, no. 23, Nov. 2022, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A747188159/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=f00806f4. Accessed 25 June 2023.

Zimmerman, Jonathan. “Here’s My AI Policy for Students: I Don’t Have One.” The Washington Post, 29 Aug. 2023, https://www.washingtonpost.com/opinions/2023/08/29/ai-student-policy-chatgpt-college/.

Generative AI Technologies

Generative AI – General

Albert, Makai. “The Cognitive Debt We Accumulate Every Time We Use AI.” The Epoch Times, 26 Jul. 2025, https://www.theepochtimes.com/health/the-cognitive-debt-were-accumulating-every-time-we-use-ai-5889854.

Allen, Danielle and E. Glen Weyl. “The Real Dangers of Generative AI.” Journal of Democracy, vol. 35 no. 1, 2024, p. 147-162. Project MUSE, https://doi.org/10.1353/jod.2024.a915355.

Artificial Intelligence: A New Age of Possibilities. TIME Magazine Special Edition, 2024.

Bahree, Amit. Generative AI in Action. Manning, 2024.

Baker, Pam. Generative AI for Dummies. Wiley, 2025.

Bjerg, Jonas. The Early-Career Professional’s Gide to Generative AI: Opportunities and Challenges for an AI-Enabled Workforce. Apress, 2024.

Das, Ravindra. Generative AI and Cyberbullying. CRC Press, 2025.

Dhamani, Numa and Maggie Engler. Introduction to Generative AI. Manning, 2024.

Diamond, Stephanie and Jeffrey Allan. Writing AI Prompts for Dummies. Wiley, 2024.

Garcia-Penalvo, Francisco Jose, and Andrea Vazquez-Ingelmo. “What Do We Mean by GenAI? A Systematic Mapping of The Evolution, Trends, and Techniques Involved in Generative AI.” International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8, no. 4, Dec. 2023, pp. 7+. Gale Academic OneFile, link.gale.com/apps/doc/A776923142/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=5a787af0. Accessed 11 Jan. 2024.

Genkina, Dina. “AI Prompt Engineering is Dead: Long Live AI Prompt Engineering.” IEEE Spectrum, 6 Mar. 2024, https://spectrum.ieee.org/prompt-engineering-is-dead.

Granville, Vincent. Synthetic Data and Generative AI. Morgan Kaufmann, 2024.

Johannessen, Jon-Arild. Consciousness and Creativity in Artificial Intelligence: The Cognitive Side of Knowledge Management. Emerald Publishing, 2023.

Magenta Associates. CheatGPT? Generative Text AI Use in the UK’s PR and Communications Profession. Nov. 2024. https://www.magentaassociates.co/wp-content/uploads/2024/11/CheatGPT-Generative-text-AI-use-in-the-UKs-PR-and-communications-profession.pdf.

Marchal, Nahema, Rachel Xu, Rasmi Elasmar, Iason Gabriel, Beth Goldberg, and William Isaac. “Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data.” arXiv, 19 Jun. 2024, revised 21 Jun. 2024, https://arxiv.org/abs/2406.13843.

Marr, Bernard. Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society. Wiley, 2024.

Miller, Michael. Using Artificial Intelligence: Absolute Beginner’s Guide. Pearson Eduacation, 2025.

Mollick, Ethan. Co-Intelligence: Living and Working with AI. Penguin, 2024.

Musiol, Martin. Generative AI: Navigating the Course to the Artificial General Intelligence Future. Wiley, 2024.

Pehcevski, Jovan, editor. Generative AI Models. Arcler Press, 2024.

Phoenix, James and Mike Taylor. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs. O’Reilly, 2024.

Przegalinska, Aleksandra and Tamilla Triantoro. Converging Minds: The Creative Potential of Collaborative AI. CRC Press, 2024.

Solanki, Shivam R. and Drupad K. Khublani. Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI. Apress, 2024.

Subramanian, Shreyas. Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications. Wiley, 2024.

AI Text Generation

Alto, Valentina. Modern Generative AI with ChatGPT and OpenAI Models: Leverage the Capabilities of OpenAI’s LLM for Productivity and Innovation with GPT3 and GPT4. Packt, 2023.

Amaratunga, Thimira. Understanding Large Language Models: Learning Their Underlying Concepts and Technologies. Apress, 2023.

Baker, Pam. ChatGPT for Dummies. John Wiley & Sons, 2023.

Baron, Naomi S. Who Wrote This? How AI and the Lure of Efficiency Threaten Human Writing. Stanford University Press, 2023.

Battle, Rick and Teja Gollapudi. “The Unreasonable Effectiveness of Eccentric Automatic Prompts.” arXiv, 9 Feb. 2024, revised 20 Feb. 2024, https://arxiv.org/abs/2402.10949v2.

Bertram, Lillian-Yvonne and Nick Montfort, editors. Output: An Anthology of Computer-Generated Text, 1953-2023. MIT Press, 2024.

Bialkova, Svetlana. The Rise of AI User Applications: Chatbots Integration Foundations and Trends. Springer, 2024.

Brown, Tom B. et al. Language Models are Few-Shot Learners. arXiv, 2020, arxiv.org/pdf/2005.14165.pdf.

Bsharat, Sondos Mahmoud, Aidar Myrzakhan, and Zhiqiang Shen. “Principles Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.” arXiv, 2023, https://arxiv.org/abs/2312.16171.

Carter, Phillip. Observability for Large Language Models: Understanding and Improving Your Use of LLMs. O’Reilly, 2024.

Carugati, Christophe. “Competition in Generative Artificial Intelligence Foundation Models.” Bruegel, 2023. JSTOR, http://www.jstor.org/stable/resrep52128. Accessed 7 Jan. 2024.

Chen, Lingjiao, Matei Zaharia, and James Zou. “How is ChatGPT’s Behavior Changing Over Time?” Arxiv, submitted 18 Jul. 2023, revised 1 Aug. 2023, https://arxiv.org/abs/2307.09009.

Conover, Mike et al. “Hello Dolly: Democratizing the Magic of ChatGPT with Open Models.” Databricks, 24 Mar. 2023, http://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html. Accessed on 14 Apr. 2023.

Graves, Christopher. “Generative AI Can Help You Tailor Messaging to Specific Audiences.” Harvard Business Review Digital Articles, Feb. 2023, pp. 1–9. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=bth&AN=162300860&site=ehost-live&scope=site.

Hart-Davis, Guy. Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit. Wiley, 2023.

Irigaray, Helio Arthur Reis, and Fabricio Stocker. “ChatGPT: a museum of great novelties.” Cadernos EBAPE.BR, vol. 21, no. 1, Jan.-Feb. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A739469873/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=0adf97a5. Accessed 13 Apr. 2023.

Kim, Juntae, et al. “A Multi-Modal Story Generation Framework with AI-Driven Storyline Guidance.” Electronics [Basel], vol. 12, no. 6, Mar. 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A743763440/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=1f493e2d. Accessed 13 Apr. 2023.

Kublik, Sandra and Shubham Saboo. GPT-3: Building Innovative NLP Products Using Large Language Models. O’Reilly, 2022.

Lbaschin, Benjamin. What are AI Agents? When and How to Use LLM Agents. O’Reilly, 2023.

McGeorge, Donna. The ChatGPT Revolution: How to Simplify Your Work and Life Admin with AI. Wiley, 2023.

Milmo, Dan , Seán Clarke and Garry Blight. “How AI Chatbots Like ChatGPT or Bard Work – Visual Explainer.” The Guardian, 1 Nov. 2023, https://www.theguardian.com/technology/ng-interactive/2023/nov/01/how-ai-chatbots-like-chatgpt-or-bard-work-visual-explainer.

Murati, Ermira. “Language & Coding Creativity.” Daedalus, vol. 151, no. 2, 2022, pp. 156–67. JSTOR, https://www.jstor.org/stable/48662033. Accessed 13 Apr. 2023.

OpenAI. GPT-4 Technical Report. 2023, cdn.openai.com/papers/gpt-4.pdf.

Ozdemir, Sinan. Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs. Addison-Wesley, 2023.

Paaß, Gerhard and Sven Giesselbach. Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media. Springer, 2023. https://arxiv.org/abs/2302.08575.

Piller, Erick. “The Ethics of (Non)Disclosure: Large Language Models in Professional, Nonacademic Writing Contexts.” Rupkatha Journal on Interdisciplinary Studies in Humanities, vol. 15, no. 4, Oct. 2023, pp. 1–27. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.21659/rupkatha.v15n4.02.

Pophal, Linda. “AI for Content Creation.” Information Today, vol. 39, no. 8, Oct. 2022, pp. 37+. Gale Academic OneFile, link.gale.com/apps/doc/A725083551/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=bd447577. Accessed 13 Apr. 2023.

Porter, Brian and Edouard Machery. “AI-generated Poetry is Indistinguishable from Human-written Poetry and Is Rated More Favorably.” Scientific Reports, volume 14, article number 26133, 14 Nov. 2024. https://doi.org/10.1038/s41598-024-76900-1.

Revell, Graeme. “Madeleine: Poetry and Art of an Artificial Intelligence.” Arts, vol. 11, no. 5, Sept. 2022, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A744274699/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=bea05976. Accessed 13 Apr. 2023.

Robb, Drew. “Chat GPT vs. Google Bard: Generative AI Comparison.” EWeek, Mar. 2023, p. N.PAG. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=162632243&site=ehost-live&scope=site.

Sarrion, Eric. Exploring the Power of ChatGPT: Applications, Techniques, and Implications. Apress, 2023.

Scott, A.O. “Literature Under the Spell of A.I.: What Happens When Writers Embrace Artificial Intelligence As Their Muse?” The New York Times, 27 Dec. 2023, https://www.nytimes.com/2023/12/27/books/review/writers-artificial-intelligence-inspiration.html.

Sejnowki, Terrence J. ChatGPT and the Future of AI: The Deep Language Revolution. MIT Press, 2024.

Silver, Mark. ChatGPT for Book Outlines: How to Use AI to Create Highly Targeted & Profitable Book Outlines in Less Than 10 Minutes. Empire Publishing, 2023.

Sobieszek, Adam, and Tadeusz Price. “Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models.” Minds & Machines, May 2022, pp. 1–24. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1007/s11023-022-09602-0.

Solanki, Shivam R. and Drupad K. Khublani. Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI. Apress, 2024.

Taulli, Tom. Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business. Apress, 2023.

Tenen, Dennis Yi. Literary Theory for Robots: How Computers Learned to Write. W. W. Norton & Company, 2024.

Thakur, Kutub, Helen G. Barker, and Al-Sakib Khan Pathan. Artificial Intelligence and Large Language Models: An Introduction to the Technological Future. CRC Press, 2024.

Ton, Anna. “Exclusive: ChatGPT Traffic Slips Again for Third Month in a Row.” Reuters, 7 Sept. 2023, https://www.reuters.com/technology/chatgpt-traffic-slips-again-third-month-row-2023-09-07/.

Touvron, Hugo, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample (Meta AI). “LLaMA: Open and Efficient Foundation Language Models.” arXiv, 27 Feb. 2023, https://arxiv.org/abs/2302.13971.

Touvron, Hugo, et al. (Meta AI). “Llama 2: Open Foundation and Fine-Tuned Chat Models.” arXiv, 18 Jul. 2023, https://arxiv.org/abs/2307.09288.

Wolfram, Stephen. What is ChatGPT Doing … And Why Does It Work? Wolfram Media, 2023.

Xiang, Chloe. “OPENAI IS CORPORATE, CLOSED-SOURCE, AND FOR-PROFIT.” AMASS, vol. 27, no. 3, Wntr 2023, pp. 8+. Gale Academic OneFile, link.gale.com/apps/doc/A749045545/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=6d631235. Accessed 25 June 2023.

Yanev, Martin. Building AI Applications with ChatGPT APIs: Master ChatGPT, Whisper, and DALL-E APIs By Building Ten Innovative AI Projects. Packt Publishing, 2023.

AI Image Generation

Cetinic, Eva. The Myth of Culturally Agnostic AI Models. Ithaca: Cornell University Library, arXiv.org, 2022. ProQuest. Web. 13 Apr. 2023.

Dehouche, Nassim, and Kullathida Dehouche. What Is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education. 1, arXiv, 2023, doi:10.48550/ARXIV.2301.01902.

Elgammal, Ahmed. “AI Is Blurring the Definition of Artist: Advanced algorithms are using machine learning to create art autonomously.” American Scientist, vol. 107, no. 1, Jan.-Feb. 2019, pp. 18+. Gale Academic OneFile Select, link.gale.com/apps/doc/A579092374/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=0a6eeed6. Accessed 7 Jan. 2024.

Haden, David. “AI for Pictures: The View From Here.” Information Today, vol. 39, no. 6, July-Aug. 2022, pp. 30+. Gale Academic OneFile, link.gale.com/apps/doc/A725083674/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=b4ef5cad. Accessed 13 Apr. 2023.

Hutson, James, Jason Lively, Bryan Robertson, Peter Cotroneo, and Martin Lang. Creative Convergence: The AI Renaissance in Art and Design. Springer, 2024.

Pallant, Julie. Creating Images Using AI: A Step-by-Step Guide to Midjourney. CRC Press, 2025.

Rombach, Robin, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. High-Resolution Image Synthesis with Latent Diffusion Models. 2022, arxiv.org/pdf/2112.10752.pdf.

Ruiz-Arellano, Ana Erika, et al. “Addressing the Use of Artificial Intelligence Tools in the Design of Visual Persuasive Discourses.” Designs, vol. 6, no. 6, Dec. 2022, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A744481633/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=22a9f0d4. Accessed 13 Apr. 2023.

Smith, Bryant Walker. “DALL-E DOES PALSGRAF.” Journal of Law, Technology and the Internet, vol. 14, annual 2023, pp. 87+. Gale Academic OneFile, link.gale.com/apps/doc/A742003570/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=9bfc6dfc. Accessed 13 Apr. 2023.

Svenungsson, Jan. Art Intelligence: How Generative AI Relates to Human Art-Making. transcript Verlag, vol. 73, 2024.

AI Music Generation

Clancy, Martin, editor. Artificial Intelligence and Music Ecosystem. Routledge, 2023.

Dai, Dan Dan. “Artificial Intelligence Technology Assisted Music Teaching Design.” Scientific Programming, vol. 2021, Dec. 2021, pp. 1–10. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1155/2021/9141339.

Miranda, Eduardo Reck, editor. Handbook of Artificial Intelligence for Music: Foundations, Advanced Approaches, and Developments for Creativity. Springer, 2021.

Additional AI Resources

Background, Historical Context, and Debates

Artificial Intelligence: The Insights You Need from Harvard Business Review. Harvard Business Review Press, 2019.

Aschenbrenner, Leopold. Stuational Awareness: The Decade Ahead. situationalawareness.ai, Jun. 2024, https://situational-awareness.ai/.

Ashley, Mike, editor. Menace of the Machine: The Rise of AI in Classic Science Fiction. British Library, 2019.

Azoff, Eitan Michael. Toward Human-Level Artificial Intelligence: How Neuroscience Can Inform the Pursuit of Artificial General Intelligence or General AI. CRC Press, 2025.

Baraniuk, Richard, et al. “The Science of Deep Learning.” Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 48, 2020, pp. 30029–32. JSTOR, https://www.jstor.org/stable/26971066. Accessed 13 Apr. 2023.

Barrat, James. Our Final Invention: Artificial Intelligence and the End of the Human Era. Thomas Dunne Books, 2013.

Barthelmeß, Ulrike and Ulrich Furbach. A Different Look at Artificial Intelligence: On Tour with Bergson, Proust and Nabokov. Springer, 2023.

Bartholomew, Jem and Dhrumil Mehta. “How the Media is Covering ChatGPT.” Columbia Journalism Review, 26 May 2023, www.cjr.org/tow_center/media-coverage-chatgpt.php.

Bauer, Martin W. and Bernard Schiele, editors. AI and Common Sense: Ambitions and Frictions. Routledge, 2024.

Bell, Jason. Machine Learning: Hands-On for Developers and Technical Professionals. 2nd edition, Wiley, 2020.

Bell, Stephanie A. and Anton Korinek. “AI’s Economic Peril.” Journal of Democracy, vol. 34 no. 4, 2023, p. 151-161. Project MUSE, https://doi.org/10.1353/jod.2023.a907696.

Blackwell, Alan F. Moral Codes: Designing Alternatives to AI. MIT Press, 2024. MIT Press Direct, https://direct.mit.edu/books/oa-monograph/5814/Moral-CodesDesigning-Alternatives-to-AI.

Brachman, Ronald J. and Hector J. Levesque. Knowledge Representation and Reasoning. Elsevier, 2004.

Brighton, Henry and Howard Selina. Introducing Artificial Intelligence. Icon Books, 2012.

Brunotts, Kate. “AI Will Not Replace Artists, It Will Devalue Them.” special issue on Artificial Intelligence, Skeptic, vol. 29, no. 1, 2024, pp. 42-48.

Buckner, Cameron J. From Deep Learning to Rational Machines: What the History of Philsophy Can Teach Us about the Future of Artificial Intelligence. Oxford UP, 2024.

Buolamwini, Joy. Unmasking AI: My Mission to Protect What Is Human in a World of Machines. Random House, 2023.

Cai, Delia. “‘We Have Built a Giant Treadmill That We Can’t Get Off’: Sci-Fi Prophet Ted Chiang on How to Best Think About AI.” Vanity Fair, 29 Jun. 2023, https://www.vanityfair.com/style/2023/06/ted-chiang-on-how-to-best-think-about-about-ai.

Cai, Zixing, Lijue Liu, Baifan Chen, and Yong Wang. Artificial Intelligence: From Beginning to Date. World Scientific, 2021.

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Gia Jung. “Do Androids Dream of Copyright?: Examining Ai Copyright Ownership.” Berkeley Technology Law Journal, vol. 35, no. 4, Oct. 2020, pp. 1151–77. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.15779/Z383J3922D.

Grozdanoff, Boris D., Zdravko Popov, and Silviya Serafimova, editors. Rationality and Ethics in Artificial Intelligence. Cambridge Scholars Publishing, 2023.

Guerraoui, Rachid, Nirupam Gupta, and Rafael Pinot. Robust Machine Learning: Distributed Methods for Safe AI. Springer, 2024.

Gunkel, David J., editor. Handbook on the Ethics of Artificial Intelligence. Edward Elgar Publishing, 2024.

Hall, Patrick and Rumman Chodhury. Responsible AI: Designing, Building, and Assessing Machine Learning and AI. O’Reilly, 2021.

Hampton, Andrew J. and Jeanine A. DeFalco, editors. The Frontlines of Artificial Intelligence Ethics: Human-Centric Perspectives on Technology’s Advance. Routledge, 2022.

Kang, Cecilia. “In U.S., Regulating A.I. Is in Its ‘Early Days.’” The New York Times, 21 Jul. 2023, https://www.nytimes.com/2023/07/21/technology/ai-united-states-regulation.html.

Kobie, Nicole. “The Risks of the Generative AI Gold Rush.” PC Pro, no. 344, June 2023, pp. 126–28. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=f6h&AN=162781593&site=ehost-live&scope=site.

Księżak, Paweł and Sylwia Wojtczak. Toward a Conceptual Network for the Private Law of Artificial Intelligence. Springer, 2023.

Lakshmi D., Ravi Shekhar Tiwari, Rajesh Kumar Dhanaraj, and Seifedine Katry, editors. Explainable AI (XAI) For Sustainable Development: Trends and Applications. CRC Press, 2024.

Liao, S. Matthew, editor. Ethics of Artificial Intelligence. Oxford UP, 2020.

Lim, Ernest and Phillip Morgan, editors. The Cambridge Handbook of Private Law and Artificial Intelligence. Cambridge UP, 2024.

Lin, Patrick, Ryan Jenkins, and Keith Abney, editors. Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence. Oxford UP, 2017.

Love Koenig, Melissa E., and Colleen Mandell. “A New Metaphor: How Artificial Intelligence Links Legal Reasoning and Mathematical Thinking. Marquette Law Review, vol. 105, no. 3, Spring 2022, pp. 559-601. https://scholarship.law.marquette.edu/mulr/vol105/iss3/4.

Manure, Avinash, Shaleen Bengani, and Saravanan S. Introduction to Responsible AI: Implement Ethical AI Using Python. Apress, 2023.

Masiello, Betsy and Derek Slater. “Beyond Copyright: Tailoring Responses to Generative AI & The Future of Creativity.” Tech Policy Press, 19 Sept. 2023, https://techpolicy.press/beyond-copyright-tailoring-responses-to-generative-ai-the-future-of-creativity/.

Montasari, Reza, editor. Artificial Intelligence and National Security. Springer, 2022.

Morioka, Masahiro, editor. Artificial Intelligence, Robots, and Philosophy. Journal of Philosophy of Life, 2023.

Müller, Vincent C., editor. Philosophy and Theory of Artificial Intelligence. Springer, 2013.

—. Philosophy and Theory of Artificial Intelligence 2021. Springer, 2022.

Nichols, James M., editor. Artificial Intelligence: Advances, Ethics and Strategies. Nova Science Publishers, 2024.

O’Brien, Matt, and Arijeta Lajka. “AI Tools Can Create New Images, but Who Is the Real Artist?” Insurance Journal, vol. 101, no. 2, Feb. 2023, pp. 12–13. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=tsh&AN=161773137&site=ehost-live&scope=site.

Osoba, Osonde and William Welser IV. An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence. Rand Corporation, 2017.

Oravec, Jo Ann. Good Robot, Bad Robot: Dark and Creepy Sides of Robotics, Autonomous Vehicles, and AI. Palgrave Macmillan, 2022.

Pashentsev, Evgeny, editor. The Palgrave Handbook of Malicious Use of AI and Psychological Security. Palgrave Macmillan, 2023.

Pearlman, Russ. “Recognizing Artificial Intelligence (Ai) as Authors and Inventors under U.S. Intellectual Property Law.” Richmond Journal of Law & Technology, vol. 24, no. 2, Dec. 2017, p. i-38. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=lgs&AN=129615466&site=ehost-live&scope=site.

Pflanzer, Michael, Veljko Dubljevic, William A. Bauer, Darby Orcutt, George List, and Munidar P. Singh. “Embedding AI in Society: Ethics, Policy, Governance, and Impacts.” AI & Society, vol. 38, no. 4, Aug. 2023, pp. 1267–71. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1007/s00146-023-01704-2.

Pophal, Linda. “Generative AI and Copyright Issues: What You Need to Know.” Information Today, vol. 40, no. 6, July-Aug. 2023, pp. 37+. Gale Academic OneFile Select, link.gale.com/apps/doc/A758439661/EAIM?u=cuny_nytc&sid=bookmark-EAIM&xid=92f2bb39. Accessed 7 Jan. 2024.

Powell, Juliette and Art Kleiner. The AI Dilemma: 7 Principles for Responsible Technology. Berrett-Koehler Publishers, 2023.

Prabhakaran, Vinodkumar, Margaret Mitchell, Timnit Gebru, and Jason Gabriel. “A Human Rights-Based Approach to Responsible AI.” Poster presented at the 2022 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimizations, https://arxiv.org/abs/2210.02667.

Roose, Kevin. “How Do the White House’s A.I. Commitments Stack Up?” The New York Times, 22 Jul. 2023, https://www.nytimes.com/2023/07/22/technology/ai-regulation-white-house.html.

Samuelson, Pamela. “Generative AI & Copyright.” YouTube, uploaded by Allen Institute for AI, 16 Aug. 2023, https://www.youtube.com/watch?v=enjfkUuy4QY.

Schick, Nina. “FAKING IT: Navigating the New Era of Generative AI May Be the Most Critical Challenge to Democracy Yet.” RSA Journal, vol. 169, no. 2(5593), 2023, pp. 40–43. JSTOR, https://www.jstor.org/stable/48737215. Accessed 7 Jan. 2024.

Schmidpeter, René and Reinhard Altenburger, editors. Responsible Artificial Intelligence: Challenges for Sustainable Management. Springer, 2023.

Shear, Michael D., Cecilia Kang, and David E. Sanger. “Pressured by Biden, A.I. Companies Agree to Guardrails on New Tools.” The New York Times, 21 Jul. 2023, https://www.nytimes.com/2023/07/21/us/politics/ai-regulation-biden.html.

Siddiqui, Sabrina and Deepa Seetharaman. “White House Says Amazon, Google, Meta, Microsoft Agree to AI Safeguards.” The Wall Street Journal, 21 Jul. 2023, https://www.wsj.com/articles/white-house-says-amazon-google-meta-microsoft-agree-to-ai-safeguards-eabe3680.

Simonite, Tom. “What Really Happened When Google Ousted Timnit Gebru.” Wired, 8 Jun. 2021, https://www.wired.com/story/google-timnit-gebru-ai-what-really-happened/.

Singh, Tarnveer. Artificial Intelligence and Ethics: A Field Guide for Stakeholders. CRC Press, 2025.

Sobel, Benjamin L. W. “Artificial Intelligence’s Fair Use Crisis.” The Columbia Journal of Law & the Arts., vol. 41, no. 1, 2017, pp. 45–97.

Sørra, Roger A. AI for Diversity. CRC Press, 2023.

Srinivasan, Ramya and Ajay Chander. “Biases in AI Systems.” ACM Queue, vol. 19, no. 2, 30 Apr. 2021, pp. 45-64, https://dl.acm.org/doi/10.1145/3466132.3466134.

Stahl, Bernd Carsten. Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies. Springer, 2021.

Thompson, Steven John, editor. Machine Law, Ethics, and Morality in the Age of Artificial Intelligence. IGI Global, 2021.

Tinnirello, Maurizio, editor. The Global Politics of Artificial Intelligence. CRC Press, 2022.

Travis, Hannibal. “Intelligent Entertainment: Shaping Policies on the Algorithmic Generation and Regulation of Creative Works.” FIU Law Review, vol. 14, no. 2, July 2020, pp. 179–99. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.25148/lawrev.14.2.4.

Vieweg, Stefan H., editor. AI for the Good: Artificial Intelligence and Ethics. Springer, 2021.

Voeneky, Silja, Philipp Kellmeyer, Oliver Mueller, and Wolfram Burgard, editors. The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives. Cambridge UP, 2022.

Watson, Nell. Taming the Machine: Ethically Harness the Power of AI. Kogan Page, 2024.

Wischmeyer, Thomas and Timo Rademacher, editors. Regulating Artificial Intelligence. 2020.

Wolf, Frank. A Blueprint for the Regulation of Artificial Intelligence. Ethics International Press, 2022.

Wong, Wendy H. We, the Data: Human Rights in the Digital Age. MIT Press, 2023.

Yampolskiy, Roman V. AI: Unexplainable, Unpredictable, Uncontrollable. CRC Press, 2024.

Završnik, Aleš and Katja Simončič, editors. Artificial Intelligence, Social Harms and Human Rights. Palgrave Macmillan, 2023.

AI Textbooks

Abu-Mostafa, Yaser S., Malik Magdon-Ismail, and Hsuan-Tien Lin. Learning from Data: A Short Course. AMLBook, 2012.

Aggarwal, Charu C. Artificial Intelligence: A Textbook. Springer, 2021.

—. Neural Networks and Deep Learning: A Textbook. 2nd edition, Springer, 2023.

Chetouani, Mohamed, Virginia Dignum, Paul Lukowicz, and Carles Sierra, editors. Human-Centered Artificial Intelligence: Advanced Lectures. Springer, 2023.

Ertel, Wolfgang. Introduction to Artificial Intelligence. 3rd edition, Springer, 2025.

He, Wang, Peng Liu, and Qian Qian. Machine Learning Contests: A Guidebook. Springer, 2023.

Huawei Technologies Co. Artificial Intelligence Technology. Springer, 2023, https://doi.org/10.1007/978-981-19-2879-6.

Kozma, Robert, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Marabito, editors. Artificial Intelligence in the Age of Neural Networks and Brain Computing. 2nd edition, Academic Press, 2024.

Liu, Mark. Machine Learning, Animated. CRC Press, 2024.

Lucci, Stephen, Sarhan M. Musa, and Danny Kopec. Artificial Intelligence in the 21st Century. 3rd edition, Mercury Learning and Information, 2022.

Luger, George F. Artificial Intelligence: Principles and Practice. Springer, 2025.

—. Artificial Intelligence: Structures and Strategies for Complex Problem Solving. 6th edition, Pearson Education, 2009.

Lynch, Stephen. Python for Scientific Computing and Artificial Intelligence. CRC Press, 2023.

Mahalle, Parikshit N., Gitanjali R. Shinde, Yaswant S. Ingle, and Namrata N. Wasatkar. Data Centric Artificial Intelligence: A Beginner’s Guide. Springer, 2023.

Meedeniya, Dulani. Deep Learning: A Beginners’ Guide. CRC Press, 2024.

Plaue, Matthias. Data Science: An Introduction to Statistics and Machine Learning. Springer, 2023.

Prince, Simon J. D. Understanding Deep Learning. MIT Press, 2023. https://udlbook.github.io/udlbook/.

Russell, Stuart J. and Peter Norvig, Artificial Intelligence: A Modern Approach. 4th edition, Prentice Education, 2020.

Santry, Douglas J. Demystifying Deep LearningAn Introduction to the Mathematics of Neural Networks. Wiley, 2024.

So, Anthony, William So, and Zsolt Nagy. The Applied Artificial Intelligence Workshop: Start Working with AI Today, To Build Games, Design Decision Trees, and Train Your Own Machine Learning Models. Packt, 2020.

AI Encyclopedia and Reference

Carayannis, Elias G. and Evangelos Grigoroudis, editors. Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship. Edward Elgar Publishing, 2023.

Frana, Philip L. and Michael J. Klein, editors. Encyclopedia of Artificial Intelligence: The Past, Present, and Future of AI. ABC-CLIO, 2021.

Marquis, Pierre, Odile Papini, and Henri Prade, editors. A Guided Tour of Artificial Intelligence 1: Knowledge Representation, Reasoning and Learning. Springer, 2020.

Marquis, Pierre, Odile Papini, and Henri Prade, editors. A Guided Tour of Artificial Intelligence 2: AI Algorithms. Springer, 2020.

Marquis, Pierre, Odile Papini, and Henri Prade, editors. A Guided Tour of Artificial Intelligence 3: Interfaces and Applications of AI. Springer, 2020.

Opinions Throughout History: Robotics & Artificial Intelligence. Grey House Publishing, 2020.

Wang, John, editor. Encyclopedia of Data Science and Machine Learning. IGI Global, 2023.

AI Applications in Various Fields and Industries

General AI Applications

Abbasabadi, Narjes, and Mehdi Ashayeri, editors. Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools. Wiley, 2024.

Biswas, Anupam, Vijay Bhaskar Semwal, and Durgesh Singh, editors. Artificial Intelligence for Societal Issues. Springer, 2023.

Brynjolfsson, Erik, and Tom Mitchell. “What Can Machine Learning Do? Workforce Implications.” Science, vol. 358, no. 6370, 22 Dec. 2017, pp. 1530-1534, www.science.org/doi/10.1126/science.aap8062.

Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond. Generative AI at Work. National Bureau of Economic Research, Apr. 2023, www.nber.org/papers/w31161. Working Paper.

Castelli, Mauro, and Luca Manzoni. “Special Issue: Generative Models in Artificial Intelligence and Their Applications.” Applied Sciences (2076-3417), vol. 12, no. 9, May 2022, p. N.PAG. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.3390/app12094127.

Diestel, Reinhard. Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences. Cambridge UP, 2024.

Filipovic, Nenad, editor. Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering. Springer, 2023.

Garg, Muskan and Deepika Koundal, editors. Emotional AI and Human-AI Interactions in Social Networking. Academic Press, 2024.

Gibian, Davey. Hacking Artificial Intelligence: A Leader’s Guide from Deepfakes to Breaking Deep Learning. Rowman & Littlefield, 2022.

Gozalo-Brizuela, Roberto, and Eduardo Garrido-Merchan. ChatGPT is Not all You Need. A State of the Art Review of Large Generative AI Models. Ithaca: Cornell University Library, arXiv.org, 2023. ProQuest. Web. 13 Apr. 2023.

Geroimenko, Vladimir, editor. Augmented Reality and Artificial Intelligence: The Fusion of Advanced Technologies. Springer, 2023.

Ikelle, Luc Thomas. Introduction to Multidisciplinary Science with Artificial Intelligence: Geodesy, Geotherms, Quantum Entanglement, and Spectroscopy. CRC Press, 2024.

Johansen, Dan Rose. Applying Artificial Intelligence: The Practitioner’s Handbook. Biased Publications, 2024.

Jöhnk, Jan, et al. “Ready or Not, AI Comes- An Interview Study of Organizational AI Readiness Factors.” Business & Information Systems Engineering, vol. 63, no. 1, Feb. 2021, pp. 5+. Gale Academic OneFile, link.gale.com/apps/doc/A717947851/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=cf84140c. Accessed 13 Apr. 2023.

Joshi, Ameet V. Machine Learning and Artificial Intelligence. 2nd ed., Springer, 2023.

Khan, Rijwan, Pawan Kumar Sharma, Sugam Sharma, and Santosh Kumar. Artificial Intelligence and Natural Algorithms. Bentham Books, 2022.

Kreutzer, Ralf T. and Marie Sirrenberg. Understanding Artificial Intelligence: Fundamentals, Use Cases and Methods for a Corporate AI Journey. Springer, 2020.

Morandini, Sofia, et al. “The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organizations.” Informing Science: the International Journal of an Emerging Transdiscipline, vol. 26, annual 2023, pp. 39+. Gale Academic OneFile, link.gale.com/apps/doc/A745057664/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=71587c1f. Accessed 13 Apr. 2023.

Naudé, Wim, and Nicola Dimitri. “The race for an artificial general intelligence: implications for public policy.” AI & Society, vol. 35, no. 2, June 2020, pp. 367+. Gale Academic OneFile, link.gale.com/apps/doc/A718382430/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=014baeae. Accessed 13 Apr. 2023.

Pap, Endre. Artificial Intelligence: Theory and Applications. Springer, 2021.

Pasick, Adam. “Artificial Intelligence Glossary: Neural Networks and Other Terms Explained.” The New York Times, 27 Mar. 2023, www.nytimes.com/article/ai-artificial-intelligence-glossary.html.

Pennefather, Patrick Parra. Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI. Apress, 2023.

Pophal, Linda. “Opportunities for Building Generative AI Into Work Processes.” Information Today, vol. 40, no. 5, June 2023, pp. 36–37. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=163782255&site=ehost-live&scope=site.

Raju, Nedunchezhian, M. Rajalakshmi, Dinesh Goyal, S. Balamurugan, Ahmed Elngar, and Bright Keswani, editors. Empowering Artificial Intelligence Through Machine Learning: New Advance and Applications. Apple Academic Press, 2022.

Rosalsky, Greg. “This Company Adopted AI. Here’s What Happened to Its Human Workers.” NPR, 2 May 2023, www.npr.org/sections/money/2023/05/02/1172791281/this-company-adopted-ai-heres-what-happened-to-its-human-workers.

Sætra, Henrik Skaug. AI for the Sustainable Development Goals. CRC Press, 2022.

Savin-Baden, Maggi. AI for Death and Dying. CRC Press, 2022.

Situnayake, Daniel and Jenny Plunkett. AI at the Edge: Solving Real-World Problems with Embedded Machine Learning. O’Reilly, 2023.

Somogyi, Zoltán. The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert. Springer, 2021.

Tiwari, Sanju, Fernando Ortiz-Rodriguez, Sarra Ben Abbés, Patience Usoro Usip, and Rim Hantach, editors. Semantic AI in Knowledge Graphs. CRC Press, 2024.

Tripathi, Suman Lata and Mufti Mahmud, editors. Explainable Machine Learning Models and Artitectures. Scrivener Publishing, 2023.

Umamaheswari, K., B. Vinoth Kumar, and S. K. Somasundaram, editors. Artificial Intelligence for Sustainable Applications. Scrivener Publishing, 2023.

Wang, Chi and Donald Szeto. Designing Deep Learning Systems: A Guide for Software Engineers. Manning, 2023.

Zhang, Baochang, Sheng Xu, Mingbao Lin, Tiancheng Wang, and David Doermann. Binary Neural Networks: Algorithms, Architectures, and Applications. CRC Press, 2024.

AI and Biology

Selvarajoo, Kumar, editor. Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology. Humana Press, 2023.

AI and Business

Akerkar, Rajendra. Artificial Intelligence for Business. Springer, 2019.

Alla, Lhoussaine, Aziz Hmioui, and Badr Bentalha, editors. AI and Data Engineering Solutions for Effective Marketing. IGI Global, 2024.

Chan, Leong, Liliya Hogaboam, and Renzhi Cao. Applied Artifical Intelligence in Business: Concepts and Cases. Springer, 2022.

Chanda, Debasis. Artificial Intelligence and Data Mining for Mergers and Acquisitions. CRC Press, 2021.

Chatterjee, Jyotir Moy, Harish Garg, and R. N. Thakur, editors. The Roadmap for Enabling Industry 4.0 by Artificial Intelligence. Scrivener Publishing, 2023.

Cohan, Peter. Brain Rush: How to Invest and Compete in the Real World of Generative AI. Apress, 2024.

Cronin, Irena. Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications. Apress, 2024.

Dobrin, Seth. AI iQ for a Human-Focused Future: Strategy, Talent, and Culture. CRC Press, 2025.

Doumpos, Michael and Evangelos Grigoroudis, editors. Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications. Wiley, 2023.

Echeberria, Ana Landeta. Artificial Intelligence for Business: Innovation, Tools and Practices. Palgrave Macmillan, 2022.

Ghosh, Soumi, Soumi Majurnder, and Santosh Kumar Das, editors. Artificial Intelligence Techniques in Human Resource Management. Apple Academic Press, 2024.

Goel, Richa, Sukanta Kumar Baral, and Ramamurthy Venkatesh, editors. Artificial Intelligence and Digital Diversity Inclusiveness in Corporate Restructuring. Nova Science Publishers, 2022.

Hamdan, Allam, Aboul Ella Hassanien, Reem Khamis, Bahaaeddin Alareeni, Anjum Razzaque, and Bahaa Awwad, editors. Applications of Artificial Intelligence in Business, Education and Healthcare. Springer, 2021.

Haq, Rashed. Enterprise Artificial Intelligence Transformation: A Playbook for the Next Generation of Business and Technology Leaders. Wiley, 2020.

Hassanien, Aboul Ella, Jyotir Moy Chatterjee, and Vishal Jain, editors. Artificial Intelligence and Industry 4.0. Academic Press, 2022.

Hemachandran, K., Sayantan Khanra, Raul V. Rodriguez, and Juan R. Jaramillo, editors. Machine Learning for Business Analytics: Real-Time Data Analysis for Decision Making. Routledge, 2023.

Hemachandran, K. and Raul V. Rodriguez, editors. Artificial Intelligence for Business: An Implementation Guide Containing Practical and Industry-Specific Case Studies. Routledge, 2024.

Hemachandran, K., Raul V. Rodriguez, Umashankar Subramaniam, and Valentina Emilia Balas, editors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction. CRC Press, 2024.

Hurwitz, Judith S. and John K. Thompson. Causal Artificial Intelligence: The Next Step in Effective Business AI. Wiley, 2024.

Kejriwal, Mayank. Artificial Intelligence for Industries of the Future: Beyond Facebook, Amazon, Microsoft and Google. Springer, 2023.

Khang, Alex, editor. AI-Oriented Competency Framework for Talent Management in the Digital Economy: Models, Technologies, Applications, and Implementations. CRC Press, 2024.

Kreutzer, Ralf T. Understanding Artificial Intelligence: Fundamentals, Use Cases and Methods for a Corporate AI Journey. Springer, 2024.

Masood, Adnan and Heather Dawe. Responsible AI in the Enterprise: Practical AI Risk Management for Explainable, Auditable, and Safe Models with Hyperscalers and Azure OpenAI. Packt Publishing, 2023.

Morandini, Sofia, Federico Fraboni, Marco De Angelis, Gabriele Puzzo, Davide Giusino and Luca Pietrantoni. “THE IMPACT OF ARTIFICIAL INTELLIGENCE ON WORKERS’ SKILLS: UPSKILLING AND RESKILLING IN ORGANISATIONS.” Informing Science: the International Journal of an Emerging Transdiscipline, vol. 26, annual 2023, pp. 39+. Gale Academic OneFile, link.gale.com/apps/doc/A745057664/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=71587c1f. Accessed 25 June 2023.

Proksch, Michael, Nisha Paliwal, and Wilhelm Bielert. The Secrets of AI Value Creation: A Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution. Wiley, 2024.

Saxena, Asha. The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially. Post Hill Press, 2023.

Schellmann, Hilke. The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now. Hachette Books, 2024.

Schmidpeter, René and Reinhard Altenburger, editors. Responsible Artificial Intelligence: Challenges for Sustainable Management. Springer, 2023.

Tella, Vijay, Scott Brinker, and Massimo Pezzini. The New Automation Mindset. Wiley, 2023.

AI and Civil Engineering

Plevris, Vagelis, Afaq Ahmad, and Nikos D. Lagaros, editors. Artificial Intelligence and Machine Learning Techniques for Civil Engineering. IGI Global, 2023.

AI and Communication

Frey, Brendan J. Graphical Models for Machine Learning and Digital Communication. MIT Press, 1998.

AI and Computing Infrastructure

Glisic, Savo and Beatriz Lorenzo. Artificial Intelligence and Quantum Computing for Advanced Wireless Networks. Wiley, 2022.

Mishra, Ashutosh, Jackwang Cha, Hyunbin Park, and Shiho Kim, editors. Artificial Intelligence and Hardware Accelerators. Springer, 2023.

Pandey, Rajiv, Sunil Kumar Khatri, Neeraj Kumar Singh, and Parul Verma, editors. Artificial Intelligence and Machine Learning for EDGE Computing. Academic Press, 2022.

Srivatasa, Mudhakar, Tarek Abdelzaher, and Ting He, editors. Artificial Intelligence for Edge Computing. Springer, 2023.

Tranquillin, Marco, Valliappa Lakshmanan, and Firat Tekiner. Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud. O’Reilly, 2024.

Weng, Wei. A Beginniner’s Guide to Informatics and Artificial Intelligence: A Short Course Towards Practical Problem Solving. Springer, 2024.

AI and Consciousness

Butlin, Patrick, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M. Fleming, Chris Frith, Xu Ji, Ryota Kanai, Colin Klein, Grace Lindsay, Matthias Michel, Liad Mudrik, Megan A. K. Peters, Eric Schwitzgebel, Jonathan Simon, and Rufin VanRullen. “Consciousness in Artificial Intelligence: Insights from the Science of Consciousness.” Arxiv, submitted 17 Aug 2023, revised 22 Aug 2023, https://arxiv.org/abs/2308.08708.

Chella, Antonio, editor. Computational Approaches to Conscious Artificial Intelligence. World Scientific, 2023.

Haugeland, John, Carl F. Craver, and Colin Klein, editors. Mind Design III: Philosophy, Psychology, and Artificial Intelligence. MIT Press, 2023.

Whang, Oliver. “How to Tell if Your A.I. Is Conscious.” The New York Times, 18 Sept. 2023, https://www.nytimes.com/2023/09/18/science/ai-computers-consciousness.html.

AI and Cybersecurity

Abd El-Latif, Ahmed A., Mohammed Adel Hammad, Yassine Maleh, Brij B. Gupta and Wojciech Mazurczyk, editors. Artificial Intelligence for Biometrics and Cybersecurity: Technology and Applications. Institution of Engineering and Technology, 2023.

Ahmed, Mohiuddin, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, and Al-Sakib Khan Pathan, editors. Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Spring, 2022.

Batina, Lejla, Thomas Bäck, Ileana Buhan, Stjepan Picek, editors. Security and Artificial Intelligence: A Crossdisciplinary Approach. Springer, 2022.

Chow, Yang-Wai, Willy Susilo, Yannan Li, Nan Li and Chau Nguyen. “Visualization and Cybersecurity in the Metaverse: A Survey.” Journal of Imaging, vol. 9, no. 1, Dec. 2022, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A750286546/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=7b7b4a25. Accessed 25 June 2023.

Cristiano, Fabio, Dennis Broeders, François Delerue, Frédérick Douzet, and Aude Géry, editors. Artificial Intelligence and International Conflict in Cyberspace. Routledge, 2023.

Davies, Vikki. “Navigating the Impact of Gen AI on Cybersecurity.” AI Magazine, May 2024, pp. 64-75.

Kott, Alexander, editor. Autonomous Intelligent Cyber Defense Agent (AICA): A Comprehensive Guide. Springer, 2023.

Luhach, Ashish Kumar and Atilla Elçi. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems. IGI Global, 2021.

Mahajan, Shilpa, Mehak Khurana, and Vania Vieira Estrela, editors. Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Thread Detection. Wiley, 2024.

Misra, Sanjay and Chamundeswari Arumugam, editors. Illumination of Artificial Intelligence in Cybersecurity and Forensics. Springer, 2022.

Pal, Om, Vinod Kumar, Rijwan Khan, Bashir Alam, and Mansaf Alam, editors. Cyber Security Using Modern Technologies: Artificial Intelligence, Blockchain and Quantum Cryptography. CRC Press, 2024.

Palle, Ranadeep Reddy and Krishna Chaitanya Rao Kathala. Privacy in the Age of Innovation: AI Solutions for Information Security. Apress, 2024.

Sarveshwaran, Velliangiri, Joy Iong-Zong Chen, and Danilo Pelusi, editors. Artificial Intelligence and Cyber Security in Industry 4.0. Springer, 2023.

Sipola, Tuomo, Tero Kokkonen, and Mika Karjalainen, editors. Artificial Intelligence and Cybersecurity: Theory and Applications. Springer, 2023.

Stamp, Mark, Corrado Aaron Visaggio, Francesco Mercaldo, Fabio Di Troia, editors. Cybersecurity for Artificial Intelligence. Springer, 2022.

Stamp, Mark, Mamoun Alazab, and Andrii Shalaginov, editors. Malware Analysis Using Artificial Intelligence and Deep Learning. Springer, 2021.

AI and Data Science

Alloghani, Mohamed, Christopher Thron, and Saad Subair, editors. Artificial Intelligence for Data Science in Theory and Practice. Springer, 2022.

Antic, Alex. Creators of Intelligence: Industry Secrets from AI Leaders That You Can Easily Apply to Advance Your Data Science Career. Packt, 2023.

Bifet, Albert, Richard Gavaldà, Geoffrey Holmes, and Berhhard Pfahringer. Machine Learning for Data Streams with Practical Examples in MOA. MIT Press, 2017.

Das, Dipankar, Anup Kumar Kolya, Abhishek Basu, and Soham Sarkar, editors. Computational Intelligence Applications for Text and Sentiment Data Analysis. Academic Press, 2023.

Idrissi, Abdellah, editor. Modern Artificial Intelligence and Data Science: Tools, Techniques and Systems. Springer, 2023.

Misra, Rajiv, Nishtha Kesswani, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Imene Brigui, Ashok Patel, and T. N. Singh, editors. Advances in Data Science and Artificial Intelligence: ICDSAI 2022, IIT Patna, India April 23-24. Springer, 2023.

Steland, Ansgar and Kwok-Leung Tsui, editors. Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology. Springer, 2022.

AI and Design

Akhtar, Md Haseen and Janakarajan Ramkumar. AI for Designers. Springer, 2024.

AI and Earth Sciences

Garg, Sanjay, Swati Jain, Nitant Dube, and Nebu Varghese, editors. Earth Observation Data Analytics Using Machine and Deep Learning: Modern Tools, Applications and Challenges. The Institution of Engineering and Technology, 2023.

Kamusoko, Courage. Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach. CRC Press, 2025.

Li, Xiaofeng and Fan Wang, editors. Artificial Intelligence Oceanography. Springer, 2023.

Mahmoud, Alaa El Din, Manal Fawzy, and Nadeem Ahmad Khan, editors. Artificial Intelligence and Modeling for Water Sustainability. CRC Press, 2023.

AI and Engineering

Chakir, Aziza, Johanes Fernandes Andry, Arif Ullah, Rohit Bansal, and Mohamed Ghazouani, editors. Engineering Applications of Artificial Intelligence. Springer, 2024.

Ieracitano, Cosimo, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, and Francesco Carlo Morabito, editors. The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics. Springer, 2023.

Iyer, Sailesh, Anand Nayyar, Mohd Naved, Fadi Al-Turjman, editors. Renewable Energy and AI for Sustainable Development. CRC Press, 2024.

Li, Yuanzheng, Yong Zhao, Lei Wu, and Zhigang Zeng. Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch. Spring, 2023.

Shastri, Apoorva S., Kailash Shaw, and Mangal Singh, editors. Machine Learning and Optimization for Engineering Design. Springer, 2023.

AI and Finance

Alareeni, Bahaaeddin A. M. and Islam Elgedawy, editors. Artificial Intelligence (AI) and Finance. Springer, 2023.

Barrau, Thomas and Raphael Douady. Artificial Intelligence for Financial Markets: The Polymodal Approach. Springer, 2022.

Cao, Larry, editor. Handbook of Artificial Intelligence and Big Data Applications in Investments. CFA Institute Foundation, 2023.

Capponi, Agostino and Charles-Albert Lehalle, editors. Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices. Cambridge UP, 2023.

Dixon, Matthew F., Igor Halperin, and Paul Bilokon. Machine Learning in Finance: From Theory to Practice. Springer, 2020.

Jafar, Syed Hasan, Hemachandran K., Hani El-Chaarani, Sairam Moturi, and Neha Gupta, editors. Artificial Intelligence for Capital Markets. CRC Press, 2023.

López de Prado, Marcos. Advances in Financial Machine Learning. Wiley, 2018.

—. Machine Learning for Asset Managers. Cambridge UP, 2020.

Mather, Bob. Machine Learning in Finance: Use Machine Learning Techiques for Day Trading and Value Trending in the Stock Market. Self-published, 2019.

Mladjenovic, Paul. AI Investing for Dummies. Wiley, 2024.

Tsang, Edward P. K. AI for Finance. CRC Press, 2023.

Venkatachalam, Ragupathy, editor. Artificial Intelligence, Learning and Computation in Economics and Finance. Springer, 2023.

AI and Healthcare

Abraham, Ajith, Sujata Dash, Subhendu Kumar Pani, and Laura García-Hernández, editors. Artificial Intelligence for Neurological Disorders. Academic Press, 2023.

Agrawal, Ajay, Joshua Gans, AVi Goldfarb, and Catherine E. Tucker, editors. The Economics of Artificial Intelligence: Heath Care Challenges. National Bureau of Economic Research Conference Report, The University of Chicago Press, 2024.

Aluvalu, Rajanikanth, Mayuri Mehta, and Patrick Siarry, eds. Explainable AI in Health Informatics. Springer, 2024.

Ashenden, Stephanie Kay. The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry. Academic Press, 2021.

Bhupathyraaj, Mullaicharam, K. Reeta Vijaya Rani, and Musthafa Mohamed Essa, editors. Artificial Intelligence in Pharmaceutical Sciences. CRC Press, 2024.

Catania, Louis J. AI for Immunology. CRC Press, 2021.

Collecchia, Giampaolo and Riccardo De Gobbi. AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine. Academic Press, 2024.

Colliot, Olivier, editor. Machine Learning for Brain Disorders. Humana Press, 2023. https://doi.org/10.1007/978-1-0716-3195-9.

El-Baz, Ayman and Jasjit S. Suri, editors. Artificial Intelligence in Cancer Diagnosis and Prognosis Volume 1: Lung and Kidney Cancer. IOP, 2022.

—. Artificial Intelligence in Cancer Diagnosis and Prognosis Volume 2: Breast and Bladder Cancer. IOP, 2022.

—. Artificial Intelligence in Cancer Diagnosis and Prognosis Volume 3: Brain and Prostate Cancer. IOP, 2022.

Fosch-Villaronga, Eduard and Hadassah Drukarch. AI for Healthcare Robotics, CRC Press, 2022.

Khade, Shankar Mukundrao and Raj Gaurav Mishra, eds. Future of AI in Biomedicine and Biotechnology. IGI Global, 2024.

Khanna, Abhirup, May El Barachi, Sapna Jain, Manoj Kumar, and Anand Nayyar, eds. Artificial Intelligence and Machine Learning in Drug Design and Development. Wiley, 2024.

Klontzas, Michail E., Salvatore Claudio Fanni, and Emanuele Neri, editors. Introduction to Artificial Intelligence. Imaging Informatics for Healthcare Professionals Series, Springer, 2023.

Kose, Utku, Deepak Gupta, and Xi Chen, editors. Explainable Artificial Intelligence for Biomedical Applications. River Publishers, 2023.

Marques, Oge. AI for Radiology. CRC Press, 2024.

Monlezun, Dominique J. The Thinking Healthcare System: Artificial Intelligence and Human Equity. Academic Press, 2023.

Moon, Inkyu. Artificial Intelligence in Digital Holographic Imaging: Technical Basis and Biomedical Applications. Wiley, 2023.

Nokeri, Tshepo Chris. Artificial Intelligence in Medical Sciences and Psychology: With Application of Machine Language, Computer Vision, and NLP Techniques. Apress, 2022.

Ostherr, Kirsten. “Artificial Intelligence and Medical Humanities.” Journal of Medical Humanities, vol. 43, no. 2, June 2022, pp. 211–32. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1007/s10912-020-09636-4.

Parah, Shabir Ahmad, Mamoon Rashid, Vijayakumar Varadarajan, editors. Artificial Intelligence for Innovative Healthcare Informatics. Springer, 2022.

Patra, Jyoti Prakash and Yogesh Kumar Rathore, editors. Applications of Artificial Intelligence in the Healthcare Sector. Nova Science Publishers, 2023.

Quinn, Campion. Artificial Intelligence in Medicine: A Practical Guide for Clinicians. World Scientific, 2024.

Rahman, Md Mahmudur, editor. Artificial Intelligence (A) and Machine Learning (ML) in Medical Imaging Informatics towards Diagnostic Decision Making. MDPI, 2023.

Raz, Manda, Tam C. Nguyen, and Erwin Loh, editors. Artificial Intelligence in Medicine: Applications, Limitations, and Future Directions. Springer, 2022.

Rasmi, Ronald M. AI Doctor: The Rise of Artificial Intelligence in Healthcare, A Guide for Users, Buyers, Builders, and Investors. Wiley, 2024.

Reddy, Sandeep. Artificial Intelligence: Applications in Healthcare Delivery. Routledge, 2021.

Shaikh, Tawseef Ayoub, Saqib Hakak, Tabasum Rasool, and Mohammed Wasid. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques. CRC Press, 2023.

Sivaraman, Thirunavukkarasu, V. Subramanian Thangarasu, and Ganesan Balakrishnan, editors. Marvels of Artificial and Computational Intelligence in Life Sciences. Bentham Books, 2023.

Stephan, Thompson, ed. Artificial Intelligence in Medicine. CRC Press, 2025.

Subasi, Abdulhamit, editor. Applications of Artificial Intelligence in Medical Imaging. Academic Press, 2023.

Suh, Hyo-Joong, et al. “Application of Artificial Intelligence in the Practice of Medicine.” Applied Sciences (2076-3417), vol. 12, no. 9, May 2022, p. N.PAG. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.3390/app12094649.

Topol, Eric. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books, 2019.

AI and Journalism

Du, Roselyn. Algorithmic Audience in the Age of Artificial Intelligence: Tailored Communication, Information Cocoons, Algorithmic Literacy, and News Literacy. Peter Lang, 2023.

Pavlik, John V. “Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education.” Journalism & Mass Communication Educator, vol. 78, no. 1, Mar. 2023, pp. 84–93. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1177/10776958221149577.

Spinner, Jackie. “AI in journalism is here. Now what? Educators debate how to ask and verify the answer.” Gateway Journalism Review, vol. 54, no. 368, Wntr 2023, pp. 6+. Gale Academic OneFile, link.gale.com/apps/doc/A748761456/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=1d247e99. Accessed 11 Jan. 2024.

AI and Mathematics

Arangala, Crista. Linear Algebra with Machine Learning and Data. CRC Press, 2023.

Bonacina, Maria Paola, and Mark E. Stickel, editors. Automated Reasoning and Mathematics: Essays in Memory of William W. McCune. Springer, 2013.

Charlesworth, Arthur. “The Comprehensibility Theorem and the Foundations of Artificial Intelligence.” Minds & Machines, vol. 24, no. 4, Nov. 2014, pp. 439–76. EBSCOhost, https://doi.org/10.1007/s11023-014-9349-3.

Crane, Leah. “Google’s AI Mathematician.” New Scientist, vol. 242, no. 3228, May 2019, p. 9. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=136341668&site=ehost-live&scope=site.

Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for Machine Learning. Cambridge UP, 2020. mml-book.github.io/book/mml-book.pdf

Greenberg, Harvey J. “A prospective on mathematics and artificial intelligence: Problem solving=Modeling+Theorem proving.” Annals of Mathematics and Artificial Intelligence, vol. 28, 2000, pp. 17–20. https://doi.org/10.1023/A:1018935718357

Hemanth, D. Jude and Utku Kose, editors. Artificial Intelligence and Applied Mathematics in Engineering Problems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019). Springer, 2020.

Hinton, Andrew. Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence. AI Fundamentals Book 5, Book Bound Studios, 2024.

Jackson, Jr., Philip C. Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language. Dover, 2019.

Korb, Kevin B. and Ann E. Nicholson. Bayesian Artificial Intelligence. 2nd edition, CRC Press, 2011.

Nelson, Hala. Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems. O’Reilly, 2023.

O’Regan, Gerald. Mathematics in Computing: An Accessible Guide to Historical, Foundational and Application Contexts. Springer, 2013.

Richard, Philippe R., M. Pilar Vélez, and Steven Van Vaerenbergh, editors. Mathematics Education in the Age of Artificial Intelligence: How Artificial Intelligence Can Serve Mathematical Human Learning. Springer, 2022.

Roberts, Siobhan. “A.I. Is Coming for Mathematics, Too.” The New York Times, 2 Jul. 2023, https://www.nytimes.com/2023/07/02/science/ai-mathematics-machine-learning.html.

Sánchez-Ruiz, Luis M., Santiago Moll-López, Adolfo Nuñez-Pérez, José Antonio Moraño-Fernández and Erika Vega-Fleitas. “ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics.” Applied Sciences, vol. 13, no. 10, May 2023, p. NA. Gale Academic OneFile, link.gale.com/apps/doc/A752310949/AONE?u=cuny_nytc&sid=bookmark-AONE&xid=0d787935. Accessed 25 June 2023.

Sang-Gu Lee, et al. “Case Study of an Online Course on Introductory Mathematics for Artificial Intelligence.” Electronic Journal of Mathematics & Technology, vol. 16, no. 2, June 2022, pp. 92–109. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=159342866&site=ehost-live&scope=site.

Theodoridis, Sergios. Machine Learning: A Bayesian and Optimization Perspective. Academic Press, 2015.

Valls, Aida, and Karina Gibert. “Women in Artificial Intelligence.” Applied Sciences (2076-3417), vol. 12, no. 19, Oct. 2022, p. 9639. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.3390/app12199639.

Ward, Isaac Ronald, et al. “A Practical Tutorial on Graph Neural Networks.” ACM Computing Surveys, vol. 54, Jan. 2022, pp. 1–35. EBSCOhost, https://doi-org.citytech.ezproxy.cuny.edu/10.1145/3503043.

White, Ryan T., and Archana Tikayat Ray. Practical Discrete Mathematics: Discover Math Principles That Fuel Algorithms for Computer Science and Machine Learning with Python. Packt, 2021.

AI and Physics

Calafiura, Paolo, David Rousseau, and Kazuhiro Terao, editors. Artificial Intelligence for High Energy Physics. World Scientific, 2022.

Iten, Raban. Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning. Springer, 2023.

AI and Policing

Das, Ravindra. Generative AI and Digital Forensics. CRC Press, 2025.

Saini, Kavita, Swaroop S. Sonone, Mahipal Singh Sankhla, and Naveen Kumar, eds. Artificial Intelligence in Forensic Science: An Emerging Technology in Criminal Investigation Systems. CRC Press, 2024.

AI and Programming

Arlow, Jim and Ila Neustadt. Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML. Pearson, 2024.

Bustos, Juan Pablo and Luis Lopez Soria. Generative AI Application Integration Patterns: Integrate Large Language Models Into Your Applications. Packt Publishing, 2024.

Hall, Patrick, James Curtis, and Parul Pandey. Machine Learning for High-Risk Applications. O’Reilly, 2023.

Minnick, Chris. Coding with AI for Dummies. Wiley, 2024.

Virvou, Maria, George A. Tsihrintzis, Nikolaos G. Bourbakis, and Lakhmi C. Jain, editors. Handbook on Artificial Intelligence-Empowered Applied Software Engineering Volume 1: Novel Methodologies to Engineering Smart Software Systems. Springer, 2022.

—, editors. Handbook on Artificial Intelligence-Empowered Applied Software Engineering Volume 2: Smart Software Applications in Cyber-Physical Systems. Springer, 2022.

AI and Project Management

Boudreau, Paul. Applying Artificial Intelligence in Project Management. Mercury Learning and Information, 2024.

Grzeszczyk, Tadeusz A. Artificial Intellignece and Project Management: An Integrated Approach to Knowledge-Based Evaluation. Routledge, 2024.

AI and Religion

Cormie, Lee F. “Artificial Intelligence: Challenges and Possibilities for Theology and Ethics.” Toronto Journal of Theology, vol. 36 no. 1, 2020, p. 75-77. Project MUSE muse.jhu.edu/article/765908.

Heffernan, Teresa. “The Dangers of Mystifying Artificial Intelligence and Robotics.” Toronto Journal of Theology, vol. 36 no. 1, 2020, p. 93-95. Project MUSE muse.jhu.edu/article/765914.

Long, Fiachra. “Gnostic Undercurrents in Our Avatar Culture.” Studies: An Irish Quarterly Review, vol. 112 no. 447, 2023, p. 371-382. Project MUSE, https://doi.org/10.1353/stu.2023.a911716.

Lorrimar, Victoria. “Going Beyond the Anxiety-Awe Spectrum by Putting the Human Back into Artificial Intelligence.” American Religion, vol. 5 no. 1, 2023, p. 111-117. Project MUSE muse.jhu.edu/article/916426.

Mosurinjohn, Sharday and Jordan Loewen-Colón. “The Age of (the Algorithmic) Aquarius: How AI Meets Our Esoteric Needs.” American Religion, vol. 5 no. 1, 2023, p. 137-147. Project MUSE muse.jhu.edu/article/916429.

Singler, Beth. ““Will AI Create A Religion?”: Views of the Algorithmic Forms of the Religious Life in Popular Discourse.” American Religion, vol. 5 no. 1, 2023, p. 95-103. Project MUSE muse.jhu.edu/article/916424.

Smith, Brian Cantwell. “Artificial Intelligence and Ultimate Questions.” Toronto Journal of Theology, vol. 36 no. 1, 2020, p. 90-92. Project MUSE muse.jhu.edu/article/765913.

AI and Science

Miao, Qinghai and Fei-Yue Wang. Artificial Intelligence for Science (AI4S): Frontiers and Perspectives Based on Parallel Intelligence. Springer, 2024.

AI and Warfare

Chandler, Robert, and Marc Chalé. “Harnessing the Momentum of Generative AI.” Phalanx, vol. 56, no. 2, 2023, pp. 52–54. JSTOR, https://www.jstor.org/stable/27227084. Accessed 7 Jan. 2024.

Cristiano, Fabio, Dennis Broeders, François Delerue, Frédérick Douzet, and Aude Géry, editors. Artificial Intelligence and International Conflict in Cyberspace. Routledge, 2023.

Garcia, Denise. The AI Military Race: Common Good Governance in the Age of Artificial Intelligence. Oxford UP, 2023.

Hoffman, Frank and Axel D’Amelio. “AI’s Impact on War’s Enduring Nature.” Orbis, vol. 68, no. 1, 2024, pp. 72-91. ScienceDirect, https://doi.org/10.1016/j.orbis.2023.11.006.

Ndzendze, Bhaso and Tshilidzi Marwala. Artificial Intelligence and Emerging Technologies in International Relations. World Scientific, 2021.

Nynek, Nik and Anzhelika Solovyeva. Militarizing Artificial Intelligence: Theory, Technology, and Regulation. Routledge, 2022.

Roy, Kaushik, editor. Artificial Intelligence, Ethics and the Future of Warfare: Global Perspectives. Routledge, 2024.

Schraagen, Jan Maarten, editor. Responsible Use of AI in Military Systems. CRC Press, 2024.

Strategic Studies Institute, US Army War College. “Uses and Ethics of Artificial Intelligence.” 2023 Annual Estimate of the Strategic Security Environment, Strategic Studies Institute, US Army War College, 2023, pp. 48–55. JSTOR, http://www.jstor.org/stable/resrep53246.18. Accessed 7 Jan. 2024.

Online Resource List


Thank you to my colleague Satyanand Singh for suggestions on textbooks and financial applications as well as an important reminder about Roger Penrose’s The Emperor’s New Mind, which I read about 29 years ago and had not remembered or appreciated its significance to AI today.


Created on 13 Apr. 2023. Updated on 15 Dec. 2025.