Why are people miscalibrated on AI?
University of Utah · AI + Ethics Workshop 2026
A framework for why people hold inaccurate views about AI, and why giving them better information does not fix it.
Research
Computer Science (AI emphasis) major and Economics minor at the University of Utah, expected Apr 2028. Pursuing a career in AI governance research.
Publications
The Iceberg Index: Measuring Skills-centered Exposure in the AI Economy
MIT
An AI labor-market exposure index built on a simulation of 151 million U.S. workers. Led out of MIT.
In progress / planned
Evaluation and Best Practices of AI-Assisted Thematic Analysis
University of Utah · SPUR Summer 2026
Tests how well frontier AI models build themes from public comments, and how much prompt design changes the quality.
Mapping AI Exposure Across the U.S. Workforce: Evidence from Millions of AI Conversations
Utah Office of AI Policy
Measures how much of U.S. work AI can currently do, using real usage data from Claude and Copilot mapped onto occupational tasks.
Companion dashboard — Mapping AI Exposure Across the U.S. Workforce
Utah Office of AI Policy
An interactive tool for browsing the exposure data by occupation, work activity, and over time.