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

“A robot wearing a suit and writing with a pen on paper,” generated 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.

Background, Historical Context, and Debates

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, Accessed 13 Apr. 2023.

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,

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

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

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

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

Chace, Calum. Artificial Intelligence and the Two Singularities. CRC Press, 2018.

Chen, Robert H. and Chelsea Chen. Artificial Intelligence: An Introduction for the Inquisitive Reader. CRC Press, 2022.

Coleman, Flynn. A Human Algorithm: How Artificial Intelligence is Redefining Who We Are. Counterpoint, 2019.

Crawford, Kate. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale UP, 2021.

Edelkamp, Stefan. Algorithmic Intelligence: Towards an Algorithmic Foundation for Artificial Intelligence. Springer, 2023.

Flasiński, Mariusz. Introduction to Artificial Intelligence. Springer, 2016.

Goertzel, Ben and Cassio Pennachin, editors. Artificial General Intelligence. Springer, 2007.

Gowat, Mo. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World. Bluebird, 2021.

Guerrero, José María. Mind Mapping and Artificial Intelligence. Academic Press, 2023.

Günter, Cisek. The Triumph of Artificial Intelligence: How Artificial Intelligence is Changing the Way we Live Together. Springer, 2021.

Henning, Klaus. Gamechanger AI: How Artificial Intelligence is Tranforming Our World. Springer, 2021.

Hulick, Kathryn. Artificial Intelligence. Abdo Publishing, 2106

Hurbans, Rishal. Grokking Artificial Intelligence Algorithms. Version 5, Manning, 2020.

Hutter, Marcus. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability. Springer, 2005.

Joshi, Rajiv, Matt Ziegler, Arvind Kumar, and Eduard Alarcon, editors. From Artificial Intelligence to Brain Intelligence. River Publishers, 2020.

Kamath, Uday and John Liu. Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning. Springer, 2021.

Kapoor, Shalini and Sameep Mehta. AI For You: The New Game Changer. Bloomsbury, 2022.

Klein, Naomi. “AI Machines Aren’t ‘Hallucinating’. But Their Makers Are.” The Guardian, 8 May 2023,

Lanier, Jaron. “There is no A.I.” The New Yorker, 20 Apr. 2023,

Larson, Erik J. The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do. Belknap Press, 2021.

LeCun, Yann, Yoshua Bengio and Geoffrey Hinton. “Deep Learning.” Nature, 28 May 2015, vol. 521, pp. 436–444,

—. “Deep Learning for AI.” Communications of the ACM, July 2021, vol. 64, no. 7, pp. 58-65,

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

Lepore, Jill. “The Data Delusion.” The New Yorker, 27 Mar. 2023,

Li, Robin. Artificial Intelligence Revolution: How AI Will Change Our Society, Economy, and Culture. Skyhorse Publishing, 2020.

Liu, Albert Chun Chen, Oscar Ming Kin Law, and Iain Law. Understanding Artificial Intelligence: Fundamental and Applications. IEEE Press, 2022.

Liu, Wei. Integrated Human-Machine Intelligence: Beyond Artificial Intelligence. Tsinghua University Press, 2023.

Mainzer, Klaus. Artificial Intelligence–When Do Machines Take Over? Springer, 2020.

Marcus, Gary and Ernest Davis. Rebooting AI: Building Artificial Intelligence We Can Trust. Pantheon Books, 2019.

Metz, Cade. Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World. Dutton, 2021.

—. “‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead.” The New York Times, 1 May 2023,

—. “What’s the Future for A.I.?” The New York Times, 31 Mar. 2023,

Mickunas, Algis and Joseph Pilotta. A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation. Bentham Books, 2023.

Mitchell, Melanie. Artificial Intelligence: A Guide for Thinking Humans. Farrar, Straus, and Giroux, 2019.

Motta Monte-Serrat and Carlo Cattani. The Natural Language for Artificial Intelligence. Academic Press, 2021.

Mueller, John Paul and Luca Massaron. Artificial Intelligence for Dummies. 2nd edition, John Wiley & Sons, 2022.

—. Machine Learning for Dummies. 2nd edition, John Wiley & Sons, 2021.

Nilsson, Nils J. The Quest for Artificial Intelligence: A History of Ideas and Achievements. Cambridge UP, 2009.

Penrose, Roger. The Emperor’s New Mind: Concerning Computers, Minds and the Laws of Physics. Oxford UP, 1989.

Pickover, Clifford A. Artificial Intelligence: An Illustrated History From Medieval Robots to Neural Networks. Sterling, 2019.

Sabouret, Nicolas. Understanding Artificial Intelligence. CRC Press, 2021.

Scardigli, Fabio. Artificial Intelligence Versus Natural Intelligence. Springer, 2022.

Schneider, Susan. Artificial You: AI and the Future of Your Mind. Princeton UP, 2019.

Simply Artificial Intelligence. DK, 2023.

“US Military Drone controlled by AI Killed Its Operator During Simulated Test.” The Guardian, 1 Jun. 2023,

Viggiano, Greg, editor. Convergence: Artificial Intelligence and Quantum Computing. Wiley, 2023.

Vuppalapati, Chandrasekar. Democratization of Artificial Intelligence for the Future of Humanity. CRC Press, 2021.

Weiser, Benjamin. “Here’s What Happens When Your Lawyer Uses ChatGPT.” The New York Times, 27 May 2023,

Wooldridge, Michael. A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going. Flatiron Books, 2021.

Zerilli, John, et al. A Citizen’s Guide to Artificial Intelligence. MIT Press, 2021.

Pedagogy and Teaching with AI

AI on Campus: Its Impact and Implications. The Chronicle of Higher Education, 2020,

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

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.

Burkhard, Michael. “Student Perceptions of AI-Powered Writing Tools: Towards Individualized Teaching Strategies.” International Association for Development of the Information Society, Jan. 2022. EBSCOhost,

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

Doroudi, Shayan. “The Intertwined Histories of Artificial Intelligence and Education.” International Journal of Artificial Intelligence in Education, 4 Oct. 2022.

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

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,

Kleiman, Glenn M. and GPT-3. AI in Writing Class: Editor, Co-Author, Ghostwriter, or Muse? June 2022.

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

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.

Lee, Jonna and Meryem Yilmaz Soylu. ChatGPT and Assessment in Higher Education. Mar. 2023. ChatGPT White Paper_Final.pdf.

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

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.

McMurtrie, Beth. “How Artificial Intelligence is Changing Teaching.” The Chronicle of Higher Education. 12 Aug. 2018, Accessed 14 Apr. 2023.

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.

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,

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,

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

Yang, Hong. “How I Use ChatGPT Responsibly in My Teaching.” Nature, 12 Apr. 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 Cham, 2021.

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

Huawei Technologies Co. Artificial Intelligence Technology. Springer, 2023,

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

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

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

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.

General AI Applications

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

Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond. Generative AI at Work. National Bureau of Economic Research, Apr. 2023, 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,

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

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,, 2023. ProQuest. Web. 13 Apr. 2023.

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

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, 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, 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, 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,

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,

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

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.

Brown, Tom B. et al. Language Models are Few-Shot Learners. 2020,

Conover, Mike et al. “Hello Dolly: Democratizing the Magic of ChatGPT with Open Models.” Databricks, 24 Mar. 2023, 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,

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, 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, Accessed 13 Apr. 2023.

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

Murati, Ermira. “Language & Coding Creativity.” Daedalus, vol. 151, no. 2, 2022, pp. 156–67. JSTOR, Accessed 13 Apr. 2023.

OpenAI. GPT-4 Technical Report. 2023,

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,

Pophal, Linda. “AI for Content Creation.” Information Today, vol. 39, no. 8, Oct. 2022, pp. 37+. Gale Academic OneFile, Accessed 13 Apr. 2023.

Revell, Graeme. “Madeleine: Poetry and Art of an Artificial Intelligence.” Arts, vol. 11, no. 5, Sept. 2022, p. NA. Gale Academic OneFile, Accessed 13 Apr. 2023.

Robb, Drew. “Chat GPT vs. Google Bard: Generative AI Comparison.” EWeek, Mar. 2023, p. N.PAG. EBSCOhost,

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,

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

AI Image Generation

Cetinic, Eva. The Myth of Culturally Agnostic AI Models. Ithaca: Cornell University Library,, 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.

Haden, David. “AI for Pictures: The View From Here.” Information Today, vol. 39, no. 6, July-Aug. 2022, pp. 30+. Gale Academic OneFile, Accessed 13 Apr. 2023.

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

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, 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, Accessed 13 Apr. 2023.

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,

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

AI and Other Fields

AI and Business

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

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.

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.

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

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

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.

AI and Cybersecurity

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.

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

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

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

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.

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 Earth Sciences

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

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.

AI and Finance

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

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

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

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

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

AI, Healthcare, and Medicine

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

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

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.

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.

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

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

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.

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,

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

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,

Crane, Leah. “Google’s AI Mathematician.” New Scientist, vol. 242, no. 3228, May 2019, p. 9. EBSCOhost,

Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for Machine Learning. Cambridge UP, 2020.

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.

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.

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

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.

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,

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,

Ward, Isaac Ronald, et al. “A Practical Tutorial on Graph Neural Networks.” ACM Computing Surveys, vol. 54, Jan. 2022, pp. 1–35. EBSCOhost,

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 News

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

AI and Software Engineering

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 Warfare

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

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.

Ethical and Legal Issues of AI

Appel, Gil, et al. “Generative AI Has an Intellectual Property Problem.” Harvard Business Review Digital Articles, Apr. 2023, pp. 1–10. EBSCOhost,

Beckers, Anna and Gunther Teubner. Three Liability Regimes for Artificial Intelligence: Algorithmic Actants, Hybrids, and Crowds. Hart Publishing, 2021.

Christoforaki, Maria, and Oya Beyan. “AI Ethics—A Bird’s Eye View.” Applied Sciences (2076-3417), vol. 12, no. 9, May 2022, p. N.PAG. EBSCOhost,

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,

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

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

Kobie, Nicole. “The Risks of the Generative AI Gold Rush.” PC Pro, no. 344, June 2023, pp. 126–28. EBSCOhost,

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

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.

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

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

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,

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,

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.

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,

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

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

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 Emporor’s New Mind, which I read about 29 years ago and had not remembered or appreciated its significance to AI today.

Created on 13 April 2023. Updated on 4 June 2023.