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 and Co-Director of the Human-Centered AI Lab, she writes 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.

Current Work

Standards & Safety

CAISI / NIST AI Safety Institute Consortium

Co-leads the team representing the Modern Language Association at the NIST AI Safety Institute Consortium.

Research Grant

Schmidt Sciences HAVI — Archival Intelligence

Co-PI of the Schmidt Sciences HAVI project Archival Intelligence.

Book

The Shapes of Stories

Cambridge Element on sentiment analysis for narrative, Cambridge University Press, 2022.

Where to Go Next

Research

Six topic areas spanning AI safety, storytelling, creativity, mind, governance, and higher education.

Explore research →

Media

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

View media →

Books

Authored and edited volumes, including The Shapes of Stories and the Proust philosophical perspectives collection.

Browse books →

Recognition

Awards, grants, appointments, and scholarly reception across academia, industry, and government.

See recognition →

Early on AI

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

2016

Human-centered AI curriculum and the AI CoLab at Kenyon College

2020

“Can GPT-3 Pass a Writer's Turing Test?” published in the Journal of Cultural Analytics

2022

The Shapes of Stories (Cambridge Element, Cambridge University Press)

2024

CAISI appointment, AI safety audit methodology, PMLA, and ICML oral presentation

2025

Schmidt Sciences HAVI, Public AI, and the OpenAI Higher Education Forum

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

View Media

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