Book List for AI, Machine Learning and Quantum Computing

by Dave Snyder

• Becker, Justus. 2024. “ ‘Peak Data’: Ilya Sutskever on the future of AI.” Alpha Avenue Magazine, December 16, 2024. https://alphaavenue.ai/en/magazine/technologies/peak-data-ilya-sutskever-on-the-future-of-ai/
• Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell. 2021 (March 1). “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” ACM Digital Library. https://dl.acm.org/doi/10.1145/3442188.3445922 <Accessed February 8, 2026>
• Bender, Emily M. and Alex Hanna. 2025. The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want. Harper Collins.
• Bennet, Max. 2023. A Brief History of Intelligence: Evolution, AI, and the Five Breakthroughs That Made Our Brains. New York: Mariner Books.
• Berman, Matthew. 2024 (May 18). “Breaking Point for OpenAI – ‘They Don’t Care About Safety.’ ” YouTube - Matthew Berman. https://www.youtube.com/watch?v=rQENjm_K2XA <Accessed May 18, 2024>
• Blake, R. 1979. “The visual system of the cat.” Perception & Psychophysics 26, 423–448 (1979). https://doi.org/10.3758/BF03204283
• Chu, Josephine and Kaitlyn Wang. 2024. “The Lawsuits That Could Shape the Future of AI and Copyright Law.” The Wall Street Journal, April 15, 2024. https://www.wsj.com/video/series/wsj-explains/the-lawsuits-that-could-shape-the-future-of-ai-and-copyright-law/43D1BBBB-F393-4F18-AA4A-A80CFFA0F8A5 <Accessed May 27, 2024>
• Curry, Rachel. 2024. “The biggest risk corporations see in gen AI usage isn’t hallucinations.” CNBC, May 16, 2024. https://www.nbcsandiego.com/news/business/money-report/the-biggest-risk-corporations-see-in-gen-ai-usage-isnt-hallucinations/3516395/ <Accessed May 17, 2024>
• Doctorow, Cory. 2025. Enshittification: Why Everything Suddenly Got Worse and What to Do About It. New York: MCD/Farrar, Straus & Giroux.
• Dreyfus, Hubert L. 1999. What Computers Still Can’t Do: A Critique of Artificial Reason. Cambridge Massachusetts: The MIT Press.
• Géron, Aurelién. 2022. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow, Third Edition. Beijing: O’Reilly.
• Gonciulea, Constantin and Charlee Stefanski. 2025. Building Quantum Software with Python: A Developer’s Guide. Shelter Island, New York: Manning.
• Grim, Patrick. 2026. “Understanding Artificial Intelligence: Of Minds and Machines.” The Great Courses. https://www.thegreatcoursesplus.com/understanding-artificial-intelligence-of-minds-and-machines
• Haier, Richard J. 2013. “The Intelligent Brain.” The Great Courses. https://www.thegreatcourses.com/courses/the-intelligent-brain
• Hao, Karen. 2025. Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI. Penguin Press.
• Harding, Verity. 2024. AI Needs You: How We Can Change AI’s Future and Save Our Own. Princeton University Press.
• Hossenfelder, Sabine. 2024. “Brain Really Uses Quantum Effects, New Study Finds.” YouTube - Science with Sabine, May 12, 2024. https://www.youtube.com/watch?v=R6G1D2UQ3gg <Accessed May 14, 2024>
• Johnson, Eric R., Nic Harrigan and Mercedes Gimeno-Segovia. 2019. Programming Quantum Computers: Essential Algorithms and Code Samples. Beijing: O'Reilly.
• Kelly, Sage, Sherrie-Anne Kaye and Oscar Oviedo-Trespalacios. 2023. “What factors contribute to the acceptance of artificial intelligence? A systematic review.” Elsevier: Telematics and Informatics, Volume 77, February 2023, 101925. https://www.sciencedirect.com/science/article/pii/S0736585322001587
• Larson, Erik J. 2022. The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do. Belknap Press.
• Lewis, Martha and Melanie Mitchell. 2025. “Evaluating the Robustness of Analogical Reasoning in GPT Models.” Transactions on Machine Learning Research, February 2025. https://openreview.net/pdf?id=t5cy5v9wph <Accessed February 24, 2025>
• Li, Fei-Fei and John Etchemendy. 2024. “No, Today’s AI Isn’t Sentient. Here’s How We Know.” Time - Time100 Voices, May 22, 2024. https://time.com/collection/time100-voices/6980134/ai-llm-not-sentient/ <Accessed May 26, 2024>
• Littman, Michael L. 2020. “Introduction to Machine Learning.” The Great Courses. https://www.thegreatcourses.com/courses/introduction-to-machine-learning
• Longoni, Chiara, Gil Appel and Stephanie Tully. 2025 (January 25). “The Less People Know About AI, the More They Like It.” Wired, Jan 25, 2025. https://www.wired.com/story/the-less-people-know-about-ai-the-more-they-like-it/ <Accessed January 26, 2025>
• Maggiori, Emmanuel. 2023. (January). Smart Until It’s Dumb: Why artificial intelligence keeps making epic mistakes (and why the AI bubble will burst). Applied Maths Ltd.
• McKendrick, Joe. 2024. “Generative AI may be creating more work than it saves - Addressing a problem or opportunity with generative AI might be overkill.” ZDNET, May 24. https://www.zdnet.com/article/generative-ai-may-be-creating-more-work-than-it-saves/
• Melville, Nigel. 2023. Personal Communication. November 23, 2023.
• Metz, Cade. 2023a. “The Fear and Tension That Led to Sam Altman’s Ouster at OpenAI.” The New York Times, November 18, 2023. https://www.nytimes.com/2023/11/18/technology/open-ai-sam-altman-what-happened.html
• Metz, Cade, Tripp Mickle, Mike Isaac, Karen Weise and Kevin Roose. 2023b. “Five Days of Chaos: How Sam Altman Returned to OpenAI.” The New York Times, November 22, 2023. https://www.nytimes.com/2023/11/22/technology/how-sam-altman-returned-openai.html
• Metz, Cade. 2025. “Why We’re Unlikely to Get Artificial General Intelligence Anytime Soon.” The New York Times, May 16, 2025. https://www.nytimes.com/2025/05/16/technology/what-is-agi.html
• Moravec, Hans. 1988. Mind Children. Harvard University Press
• Naminas, Karyna. 2024. “LLM Model Size: Parameters, Training, and Compute Needs.” Label Your Data, December 19, 2024. https://labelyourdata.com/articles/llm-fine-tuning/llm-model-size <Accessed January 18, 2025>
• Narayanan, Arvind and Sayash Kapoor. 2024, AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t and How to Tell the Difference. Princeton University Press.
• Nielsen, Michael A. and Isaac L. Chuang. 2024. Quantum Computation and Quantum Information. Cambridge: Cambridge University Press.
• Olavsrud, Thor. 2024. “10 famous AI disasters.” CIO.com, April 17, 2024. https://www.cio.com/article/190888/5-famous-analytics-and-ai-disasters.html <Accessed May 17, 2024>
• Omwanda, Emman. 2024. “Unveiling the Truth: Rethinking Artificial Intelligence.” Cryptopolitan, March 2024. https://www.cryptopolitan.com/the-truth-rethinking-artificial-intelligence/ <Accessed: March 5, 2024>
• Penrose, Roger. 1989. The Emperor’s New Mind. New York: Oxford University Press.
• Pound, Mike. 2024. “Has Generative AI Already Peaked?” YouTube - Computerphile, May 9, 2024. https://www.youtube.com/watch?v=dDUC-LqVrPU <Accessed May 14, 2024>
• Price, Mark J. 2025. “From immortality to ugly people: 100-year-old predictions about 2025.” USA Today, January 2, 2025. https://www.usatoday.com/story/news/nation/2025/01/02/predictions-about-2025-from-100-years-ago/77323103007/ <Accessed January 18, 2025>
• Rosen, Meghan and Tina Hesman Saey. 2025. “AI could transform health care, but will it live up to the hype?: The technology has the potential to improve lives, but hurdles and questions remain.” Science News, January 10, 2025. https://www.sciencenews.org/article/ai-health-care-medicine-tech <Accessed January 18, 2025>
• Shneiderman, Benn. 2022. Human-Centered AI. Oxford: Oxford University Press.
• Turing, A. M. 1950. “Computing Machinery and Intelligence.” Mind: A Quarterly Review of Psychology and Philosophy, Vol. LIX, No. 230, pp. 433-460. https://archive.org/details/MIND--COMPUTING-MACHINERY-AND-INTELLIGENCE/page/n27/mode/2up
• Wilkins, Joe. 2025. “Companies That Replaced Humans with AI Are Realizing Their Mistake.” Yahoo!Finance, June 18, 2025. https://finance.yahoo.com/news/companies-replaced-humans-ai-realizing-151039874.html <Accessed June 19, 2025>
• Zahn, Max. 2024. “ ‘Overlooked’ workers who train AI can face harsh conditions, advocates say.” ABC News, May 16, 2024. https://abcnews.go.com/Business/overlooked-workers-train-ai-face-harsh-conditions-advocates/story?id=110303586 <Accessed May 17, 2024>
• ______. 2025 (February 5). “As Internet enshittification marches on, here are some of the worst offenders: Ars staffers take aim at some of the web’s worst predatory practices.” Ars Technica. https://arstechnica.com/gadgets/2025/02/as-internet-enshittification-marches-on-here-are-some-of-the-worst-offenders/ <Accessed January 5, 2026>
• ______. Undated. AI, Algorithmic and Automation Incidents and Controversies. https://www.aiaaic.org/
• ______. Undated. Lawrence Berkley Lab: Machine Learning for Science. https://ml4sci.lbl.gov/
• ______. Undated. OpenAI ChatGPT. https://chatgpt.com
• ______. Undated. OpenAI Dall E. https://openart.ai
• ______. Undated. OpenAI Sora. https://openai.com/index/sora/

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Modified January 17, 2026