Katherine Elkins
PI, NIST AI Safety Institute Consortium
PI, Schmidt Sciences HAVI
Katherine Elkins is an AI safety researcher whose work focuses on the places where language models break down. Her research reveals how AI systems mishandle negation, respond to emotional manipulation, and fail at exactly the kinds of nuanced prohibition and persuasion that humans navigate every day. Understanding why matters enormously for safety, and it's the reason her work has drawn on deep expertise in how language actually works.
Elkins is Co-Founder and Principal Investigator of the Human-Centered AI Lab, an interdisciplinary research organization. She is a PI in the NIST AI Safety Institute Consortium, representing the 25,000-member Modern Language Association, and PI for a Schmidt Sciences HAVI grant, one of 23 teams selected worldwide, building AI tools to rescue endangered cultural archives in New Orleans.
She has been at this longer than most people realize. In 2016 she co-created what is believed to be the first human-centered AI curriculum, and her students' 300+ research projects have since been downloaded 95,000+ times from institutions in 198 countries. She is the author of The Shapes of Stories: Sentiment Analysis for Narrative (Cambridge University Press, 2022) and the AI industry expert for Bloomberg's AI Strategy course. Her research spans AI safety, computational social science, sentiment analysis, and AI governance. She is a professor at Kenyon College, where she directs the Integrated Program in Humane Studies. Ph.D., UC Berkeley. B.A., Yale.
Selected Highlights
Quoted in Christian Science Monitor
Commentary on AI safety research and the role of humanities in AI governance.
NPR: Could AI Save Endangered Archives?
WOSU coverage of the Schmidt Sciences archival intelligence project in New Orleans.
Forbes: Where AI Meets the Humanities
Feature on the human-centered AI program and curriculum at Kenyon College.
OpenAI Higher Education Forum
Selected speaker at OpenAI's Education Guild, presenting computational humanities research in San Francisco.
Schmidt Sciences HAVI Award
$330K grant — one of 23 teams worldwide — for AI-powered archival intelligence preserving endangered New Orleans heritage.
RALLY Innovation Conference
Spoke on human algorithms and the intersection of narrative, emotion, and AI systems.
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.