“Again Theory: A Forum on Language, Meaning, and Intent in the Time of Stochastic Parrots.” Critical Inquiry: In the Moment Blog, 27 June 2023, https://critinq.wordpress.com/2023/06/27/again-theory-a-forum-on-language-meaning-and-intent-in-the-time-of-stochastic-parrots-2/.
AI Now Institute and NYU Center for Disability Studies. Disability, Bias, and AI. https://disabilitystudies.nyu.edu/disability-bias-and-ai-report/.
Bender, Emily M., et al. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜.” Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, ACM, 2021, pp. 610–23, https://doi.org/10.1145/3442188.3445922.
Bibauw, Serge, et al. “Dialogue Systems for Language Learning: Chatbots and Beyond.” The Routledge Handbook of Second Language Acquisition and Technology, Routledge, 2022, https://www.taylorfrancis.com/books/edit/10.4324/9781351117586/routledge-handbook-second-language-acquisition-technology-nicole-ziegler-marta-gonz%C3%A1lez-lloret.
Crawford, Kate. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press, 2021.
D’Ignazio, Catherine, and Lauren Klein. Data Feminism. MIT Press, https://data-feminism.mitpress.mit.edu/.
Dzieza, Josh. “Inside the AI Factory.” The Verge, 20 June 2023, https://www.theverge.com/features/23764584/ai-artificial-intelligence-data-notation-labor-scale-surge-remotasks-openai-chatbots.
Goodlad, Lauren. “Editor’s Introduction: Humanities in the Loop.” Critical AI, vol. 1, no. 1–2, Oct. 2023, https://doi.org/10.1215/2834703X-10734016.
Mitchell, Melanie. Artificial Intelligence: A Guide for Thinking Humans. Farrar, Straus and Giroux, 2019.
MLA-CCCC Joint Task Force on Writing and AI. MLA-CCCC Joint Task Force on Writing and AI Working Paper 1: Overview of the Issues, Statement of Principles, and Recommendations. https://aiandwriting.hcommons.org/working-paper-1/.
Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. New York University Press, 2018.
Raley, Rita, and Jennifer Rhee. “Critical AI: A Field in Formation.” American Literature, vol. 95, no. 2, June 2023, pp. 185–204, https://doi.org/10.1215/00029831-10575021.
Steyerl, Hito. “Mean Images.” New Left Review, no. 140/141, Apr. 2023, pp. 82–97, https://newleftreview.org/issues/ii140/articles/hito-steyerl-mean-images.
Stiennon, Nisan, et al. “Learning to Summarize with Human Feedback.” Advances in Neural Information Processing Systems, vol. 33, Curran Associates, Inc., 2020, pp. 3008–21, https://proceedings.neurips.cc//paper_files/paper/2020/hash/1f89885d556929e98d3ef9b86448f951-Abstract.html.
Vee, Annette et al. TextGenEd: Teaching with Text Generation Technologies, WAC Colorado State
UCI Pens and Pixels Conference resources on generative AI for second language learning
Watkins, Ryan. "Update Your Course Syllabus for chatGPT," Medium, Dec. 2022.
"The Five Big Ideas in Artificial Intelligence" poster for K-12 (multiple languages)
"The Ethics of Generative AI in the Classroom" school mini-lesson, Facing History and Ourselves
"AI Literacy" for schools, Expressive Machinery Lab at Georgia Tech
Urban, April. "Digital Humanities Resource Guide," UCI Libraries.
Free and/or open resources for play and experimentation: Hugging Face (for example, "Fine-tune a pretrained model" tutorial), GPT4All, Ollama, Chatbot Arena [no privacy]