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A(I) University in Ruins: What Remains in a World with Large Language Models?

Published online by Cambridge University Press:  08 October 2024

Abstract

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Type
Theories and Methodologies
Copyright
Copyright © 2024 The Author(s). Published by Cambridge University Press on behalf of Modern Language Association of America

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References

Works Cited

Allyn, Bobby. “Google Races to Find a Solution after AI Generator Gemini Misses the Mark.” NPR, 18 Mar. 2024, www.npr.org/2024/03/18/1239107313/google-races-to-find-a-solution-after-ai-generator-gemini-misses-the-mark.Google Scholar
Chun, Jon, and Elkins, Katherine. “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.CrossRefGoogle Scholar
Chun, Jon, and Elkins, Katherine. “Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values.” ArXiv.org, 9 Jan. 2024, arxiv.org/abs/2402.01651.Google Scholar
Ekelund, Henrik. “Why There Will Be Plenty of Jobs in the Future—Even with AI.” World Economic Forum, 26 Feb. 2024, www.weforum.org/agenda/2024/02/artificial-intelligence-ai-jobs-future/.Google Scholar
Elkins, Katherine. “AI Comes for the Author.” Poetics Today, vol. 45, no. 2, 2024, pp. 267–74.CrossRefGoogle Scholar
Elkins, Katherine. “In Search of a Translator: Using AI to Evaluate What's Lost in Translation.” Frontiers in Computer Science, vol. 6, 12 Aug. 2024, https://doi.org/10.3389/fcomp.2024.1444021.Google Scholar
Elkins, Katherine. “Reading GenAI: The Trouble with Bias.” Reading Generative AI: Theory, Data, Critique, Matthew Kirschenbaum and Rita Raley, presiders. MLA Annual Convention, 5 Jan. 2024, Philadelphia.Google Scholar
Elkins, Katherine. The Shapes of Stories. Cambridge UP, 2022.CrossRefGoogle Scholar
Fairman, Gabriel. “Translating Worlds: AI Expert's Adventure from Pages to Pixels (with Kate Elkins).” Merging Minds, 2024. Apple Podcasts, podcasts.apple.com/us/podcast/translating-worlds-ai-experts-adventure-from-pages/id1727352682?i=1000648935735.Google Scholar
Grace, Katja, et al. “Thousands of AI Authors on the Future of AI.” ArXiv.org, 5 Jan. 2024, arxiv.org/abs/2401.02843.Google Scholar
Hilliard, Airlie, et al. “Eliciting Personality Traits in Large Language Models.” ArXiv.org, 15 Feb. 2024, arxiv.org/abs/2402.08341.Google Scholar
Hinton, Geoffrey. “Will Digital Intelligence Replace Biological Intelligence?” The Romanes Lecture, University of Oxford, 19 Feb. 2024. YouTube, www.youtube.com/watch?v=N1TEjTeQeg0.Google Scholar
Kafka, Franz. “Before the Law.” A Hunger Artist and Other Stories, translated by Crick, Joyce, Oxford UP, 2012, pp. 2022.Google Scholar
Phuong, Mary, et al. “Evaluating Frontier Models for Dangerous Capabilities.” ArXiv.org, 20 Mar. 2024, arxiv.org/abs/2403.13793.Google Scholar
“Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power and AGI.” Lex Fridman Podcast, episode 419. YouTube, www.youtube.com/watch?v=jvqFAi7vkBc. Accessed 21 Mar. 2024.Google Scholar
Txabarriaga, Rocío. “Should AI Be Trusted as It Gets Better at Translation?” Slator, 28 Mar. 2024, slator.com/should-ai-be-trusted-as-it-gets-better-at-translation/.Google Scholar
“Usage Statistics and Market Share of Content Languages for Websites, February 2020.” W3Techs, 2020, w3techs.com/technologies/overview/content_language.Google Scholar
Xu, Hainiu, et al. “OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models.” ArXiv.org, 14 Feb. 2024, arxiv.org/abs/2402.06044.Google Scholar
“Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI and the Future of AI.” Lex Fridman Podcast, episode 416. YouTube, www.youtube.com/watch?v=5t1vTLU7s40. Accessed 21 Mar. 2024.Google Scholar
Zelikman, Eric, et al. “Quiet-STaR: Language Models Can Teach Themselves to Think before Speaking.” ArXiv.org, 18 Mar. 2024, arxiv.org/abs/2403.09629.Google Scholar