Katherine Elkins
PI, NIST AI Safety Institute Consortium
PI, Schmidt Sciences HAVI
Katherine Elkins is an AI researcher. AI is fundamentally interdisciplinary — it forces us to rethink what it means to be human — and her work reflects that: spanning safety, governance, cultural heritage, creativity, and democracy.
She is a Principal Investigator at the NIST US AI Safety Institute, representing the Modern Language Association. She holds a Schmidt Sciences HAVI award for AI and endangered cultural heritage. She has published on linguistic vulnerabilities in AI systems and presented at ICML. She has taught AI since 2016 — when she co-founded what is recognized as the world's first human-centered AI curriculum.
Her 2023 paper on AI and the crisis of the university has been cited as an epistemological framework — for how AI transforms what counts as knowledge and authority — across higher education, digital humanities, ethics, and institutional design.
Her work is grounded in a career-long inquiry into the relationship between embodied experience and the systems built to represent it — a question that AI has made newly urgent.
Research presented at the inaugural NIST AI Safety Institute Consortium plenary, University of Maryland. With Tony Wang. December 2024.
Recent Work
Invited speaker, AI and Democracy — Ohio State University, April 2026.
OpenAI Higher Education Forum — "Discoveries Across Disciplines." Invite-only; public replay December 2025.
Featured in Engineering (Chinese Academy of Engineering / Elsevier), December 2025: "AI's Talent for Translation Lowers Language Barriers." On her Frontiers in Computer Science research using AI to evaluate what is lost in literary translation.
Keynote, Weill Cornell Medicine–Qatar, METC Conference, Doha, October 2025. Program.
Plenary, Faith, Reason, and World Affairs Symposium, Concordia College, September 2025. Watch.
WOSU / NPR: on the Schmidt Sciences HAVI Archival Intelligence project and AI for endangered cultural heritage. February 2025.
Principal Investigator, NIST US AI Safety Institute Consortium, representing the Modern Language Association.
Schmidt Sciences HAVI award — Archival Intelligence: AI for endangered cultural heritage, with collaborators from Columbia, LSU, and Berklee. Project site.
Areas of focus
Elkins' research bridges computational methods with humanistic and social-scientific inquiry, spanning AI safety, computational social science, narrative analysis, cultural heritage, and governance. View full research →
LLM Evaluation & Red-Teaming
How language models process negation, prohibition, and persuasion. Evaluation frameworks for the NIST AI Safety Institute Consortium.
Multi-Agent Behavioral Simulation
Benchmarking 90+ model/reasoning combinations for judicial, economic, and political decision-making. 300+ student research projects across every discipline.
Archival Intelligence
Schmidt Sciences HAVI project rescuing endangered New Orleans heritage archives using AI. Community-governed data sovereignty.