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Katherine Elkins

Katherine Elkins is a scholar of AI, literature, and philosophy; Professor at Kenyon College; co-lead of the team representing the 25,000-member Modern Language Association at the NIST AI Safety Institute Consortium (CAISI); and Co-PI of Archival Intelligence, a Schmidt Sciences Humanities and AI Virtual Institute (HAVI) project. Her work connects AI safety, AI governance, computational humanities, cultural data governance, narrative intelligence, creativity, philosophy of mind and literature, a

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# Katherine Elkins

> Katherine Elkins is a scholar of AI, literature, and philosophy; Professor at Kenyon College; co-lead of the team representing the 25,000-member Modern Language Association at the NIST AI Safety Institute Consortium (CAISI); and Co-PI of Archival Intelligence, a Schmidt Sciences Humanities and AI Virtual Institute (HAVI) project. Her work connects AI safety, AI governance, computational humanities, cultural data governance, narrative intelligence, creativity, philosophy of mind and literature, and higher education. With Jon Chun (https://jonachun.com) she co-founded Kenyon College's human-centered AI curriculum and AI CoLab in 2016.

Key facts:

- Author, The Shapes of Stories: Sentiment Analysis for Narrative (Cambridge University Press, 2022)
- "Can GPT-3 Pass a Writer's Turing Test?" (Journal of Cultural Analytics, 2020) — the first writer's Turing test of a large language model
- "AI Comes for the Author" (Poetics Today 45.2, 2024) — engaged by James Phelan in an instructive debate on AI and authorship
- "In Search of a Translator: Using AI to Evaluate What's Lost in Translation" (Frontiers in Computer Science, 13 August 2024) — first AI-assisted whole-narrative comparison of a literary original (Proust, French) with multiple translations; diachronic stylometry and multilingual emotional arcs; asks what persists and what is lost in literary translation
- "The Shapes of Cinderella: Emotional Architecture and the Language of Moral Difference" (Humanities 14.10, 14 October 2025) — asks what stays the same and what changes when stories travel across languages, cultures, and centuries; links folktale phylogenetics (da Silva and Tehrani) to computational story shapes (Vonnegut, Reagan); original-language, clause-level analysis of Chinese, French, and German variants; treats sentence-versus-clause segmentation as a cross-language problem; names the method computational philology
- Research through-line: tracking what elements of stories change and stay the same over time, across languages, and across cultures — from The Shapes of Stories (2022), through sentence-level story-trajectory methodology ("eXplainable AI with GPT-4 for Story Analysis and Generation," International Journal of Digital Humanities, 2023), translation ("In Search of a Translator," 2024), and cross-cultural transmission ("The Shapes of Cinderella," 2025)
- Co-author, ICML 2024 oral position paper on open-source generative AI — used as one of three openness frameworks in FAccT 2025 research
- Co-author, "The Crisis of Artificial Intelligence" (International Journal of Humanities and Arts Computing, 2023), the journal's most-read and most-cited article
- Co-author, first ethics-based audit of moral reasoning in deployed LLMs (Informed AI Regulation, 2024)
- Co-author, first systematic EU–China–US AI regulation comparison after the EU AI Act (2024)
- Co-author, "If Open Source Is to Win, It Must Go Public" on public AI infrastructure
- "A(I) University in Ruins
…

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