Research
I investigate how knowing happens — in literature, in minds, and now in machines.
A Timeline of Anticipation
- 2016Co-founded Human-Centered AI Lab and the world's first human-centered AI curriculum at Kenyon College
- 2019First 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
- 2022Helix Center roundtable on natural language generation systems with Ned Block, Francesca Rossi, and Kyunghyun Cho — one month before ChatGPT
- 2022The Shapes of Stories (Cambridge Element, Cambridge University Press)
- 2024Appointed to co-lead the team representing the Modern Language Association at the NIST AI Safety Institute Consortium
- 2024ICML oral presentation (top 2%): open-source generative AI risks
- 2025Schmidt Sciences HAVI grant — Archival Intelligence (one of 23 teams worldwide)
- 2025OpenAI Higher Education Forum, Weill Cornell Medicine-Qatar keynote
- 2026OSU Chase Center on civic education after AI
Storytelling
The Shapes of Stories (Cambridge UP, 2022) and the methodology line on diachronic sentiment analysis, narrative shape, and AI fiction.
AI Safety
The confidence-scoring methodology for systematic audit of large language models. Syntactic framing fragility, negation sensitivity, and NIST audit work.
Creativity
The writer's Turing test, the AI Fiction Paradox, AI authorship, translation, and the linguistics of large language model evaluation.
Mind
Philosophical work on memory, perception, and interpretation since 2002 — readings of Baudelaire, Proust, Plato, Kafka, Woolf, and Wordsworth.
Governance
Co-leading the MLA team at NIST CAISI. Comparative analyses of EU, US, and China AI regulation engaged in policy scholarship. UNESCO, Public AI, IBM–Notre Dame Tech Ethics.
AI in Higher Education
Co-founded the world's first human-centered AI curriculum at Kenyon College in 2016. Recent essays on what large language models do to the university.
For full scholarly reception evidence — verified body-text engagements, named citers, structural adoption — see Scholarly Reception.