Scholarship
It is incredibly challenging to keep up with the pace of news coming out about AI, its tools, and issues around the technology. The traditional publishing models for scholarly communication can’t keep up with the rapid changes that are occurring in the everyday use of the technology especially by students and teachers. These resources featured below are authoritative, trustworthy, and have repeatedly come up in our conversations with leaders in the field and educators who are interested in learning more about the current landscape and background on the development of these tools. This bibliography is not comprehensive and is growing as more research and articles come out. If you have a resource that would be useful to be included in this list of scholarship on AI please email …
Articles
Nguyen, C. Thi. Echo Chambers and Epistemic Bubbles
Constitutional AI: Harmlessness from AI Feedback \ Anthropic. December 15, 2022.
Books
Boden, Margaret A. Artificial Intelligence: A Very Short Introduction . Oxford, UK: Oxford University Press, 2018.
Buckner, Cameron J. From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us About the Future of Artificial Intelligence . New York: Oxford University Press, 2023.
Chayka, Kyle. Filterworld: How Algorithms Flattened Culture. New York: Doubleday, 2024.
Crawford, Kate. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven: Yale University Press, 2021.
D'Ignazio, Catherine, and Lauren F. Klein. Data Feminism. Cambridge, MA: The MIT Press, 2020.
Floridi, Luciano. The 4th Revolution: How the Infosphere is Reshaping Human Reality. Oxford, UK: Oxford University Press, 2014.
Hill, Kashmir. Your Face Belongs to Us: A Secretive Startup's Quest to End Privacy as We Know It. New York: Random House, 2023.
Merchant, Brian. Blood in the Machine: The Origins of the Rebellion Against Big Tech. New York: Little, Brown and Company, 2023.
Mitchell, Melanie. Artificial Intelligence: A Guide for Thinking Humans. New York: Farrar, Straus and Giroux, 2019.
Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. New York: New York University Press, 2018.
O'Neil, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Broadway Books, 2017.
Schellmann, Hilke. The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now. New York: Hachette Books, 2024.
Vallor, Shannon. The AI Mirror: How to Reclaim our Humanity in an Age of Machine Thinking. New York: Oxford University Press, 2024.
Digital Projects
Training the Archive – Forschungsprojekt am Ludwig Forum, Aachen
Repository - Generative AI in Education Hub
The 2025 AI Index Report | Stanford HAI
Organizations
Centre for Technomoral Futures
Center for AI and Digital Policy
Association for Computing Machinery
Arizona State University Artificial Intelligence
Podcasts
Hard Fork - The New York Times
Thought Leaders
Kashmir Hill - The New York Times
Shannon Vallor - Edinburgh Futures Institute