Media
Media conversations on the human dimensions of AI: safety and governance, creativity and authorship, memory, culture, and public institutions.
Selected coverage and interviews
The Christian Science Monitor
Quoted in · February 20, 2026
Consulted as a NIST AI Safety Institute Consortium contributor on emerging AI risk, manipulation, safety evaluation, and the institutional responsibility to govern uncertainty before it becomes crisis.
Read the article →NPR / WOSU
Coverage of · February 9, 2026
Coverage of Archival Intelligence, a Schmidt Sciences HAVI project developing open AI tools to preserve endangered cultural archives without flattening the local knowledge that gives them meaning.
Read the coverage →Al Jazeera · The Stream
Interviewed on · May 11, 2023
A conversation with Boris Eldagsen and Shane Balkowitsch about generative AI, art, authorship, originality, and human creative judgment.
Watch →Forbes
Featured in · November 20, 2025
Coverage of Kenyon’s human-centered AI curriculum and the broader research program connecting the humanities, education, and AI.
Read the article →Across these outlets, apparently different questions converge: how humans interpret, remember, create, judge, and govern intelligent systems.
Additional coverage by question
Katherine Elkins is quoted on AI safety, standards, manipulation, ethical evaluation, and the linguistic vulnerabilities conventional metrics can miss.
Engineering covered the translation research in “AI’s Talent for Translation Lowers Language Barriers” (2025); the Kenyon Collegian discussed ChatGPT, AI art, and their implications in 2023.
Coverage of Archival Intelligence asks how AI can support endangered archives, cultural preservation, and machine-readable heritage while retaining humanistic expertise and local context.
For keynotes, invited lectures, and institutional conversations, see Speaking →. For Katherine’s own public scholarship on federal AI standards, see AI Safety & Model Evaluation →.
Long-form conversations
Humanity at Scale · June 2025
Narrative, creativity, and the long history behind generative AI.
Listen →Merging Minds · 2024
AI, literary translation, narrative, and what survives across languages.
Listen →The Helix Center · 2022
Language generation, knowledge, philosophy of information, and machine intelligence.
Listen →The Helix Center · 2023
Emotion across neuroscience, cognitive science, philosophy, computation, and human experience.
Listen →RadioAI · March 2023
Generative language systems and their consequences for writing and education.
Listen →Creative Velocity · February 2026
A conversation about artificial intelligence, creativity, and human judgment.
Resources
Download the CV (PDF).
Katherine Elkins is an AI researcher and Professor at Kenyon College working on model behavior, human judgment, evaluation, agents, narrative, culturally grounded AI, and governance. She is Co-Principal Investigator of the Schmidt Sciences Archival Intelligence project and co-leads the five-member Modern Language Association team in the NIST CAISI AI Consortium.
Media inquiries
For interviews, commentary, or other media inquiries, please get in touch.
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