Katherine Elkins, AI safety researcher and author
AI Safety · Research · Author

Katherine Elkins

Katherine Elkins is a scholar of AI, literature, and philosophy. She represents the Modern Language Association at the U.S. AI Safety Institute Consortium (CAISI) and is Co-PI of the Schmidt Sciences HAVI project Archival Intelligence.

  • Co-Founder & Co-Director, Human-Centered AI Lab
  • Co-leading the MLA team at the NIST AI Safety Institute Consortium
  • Co-PI, Schmidt Sciences HAVI (“Archival Intelligence”)
  • Writing on AI across the humanities, cognitive science, and philosophy of information

Visit Wikipedia for an abridged summary of research collaborations across academia, industry, and government. For an AI-native profile, see Grokipedia.

Early on AI

A concise trajectory across curriculum design, frontier-model evaluation, public scholarship, and interdisciplinary AI research.

  • 2016
    Co-founded Human-Centered AI Lab and early human-centered AI curriculum work at Kenyon College
  • 2019
    First transdisciplinary AI research, Modernist Studies Association
  • 2020
    “Can GPT-3 Pass a Writer's Turing Test?” published in the Journal of Cultural Analytics months after the GPT-3 API release
  • 2022
    Helix Center roundtable on natural language generation systems with Ned Block, Francesca Rossi, and Kyunghyun Cho — one month before ChatGPT
  • 2022
    The Shapes of Stories (Cambridge Element, Cambridge University Press)
  • 2024
    Appointed to co-lead the team representing the Modern Language Association at the NIST AI Safety Institute Consortium
  • 2024
    ICML oral presentation on open-source generative AI risks
  • 2025
    Schmidt Sciences HAVI grant — Archival Intelligence (one of 23 teams worldwide)
  • 2025
    OpenAI Higher Education Forum, Weill Cornell Medicine-Qatar keynote
  • 2026
    OSU Chase Center on civic education after AI

Media and FAQ

Media

Selected press, broadcast, and public scholarship appearances across research, standards work, and archival intelligence.

  • Christian Science Monitor on language-model evaluation at NIST
  • NPR / WOSU on the Archival Intelligence project
  • Forbes on AI, the humanities, and interdisciplinary research
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FAQ

Answers on research focus, AI safety methods, the human-centered AI curriculum, and where to find the full body of work.

  • What defines the research program across AI and the humanities?
  • How does the confidence-scoring audit methodology work?
  • Where can collaborators, journalists, and students start?
Read the FAQ