My present work focuses on:

• Investigating how to create AI systems that work alongside humans in real-world task settings.
• Developing algorithms that allow AI agents to make robust decisions in uncertain and rapidly changing environments.
• Buildling out better models of human cognition to understand people’s underlying goals and preferences.

Publications

Conference proceedings and journal articles (* denotes equal contribution)

(in submission) Lukas William Mayer*, Sheer Karny*, Jackie Ayoub, Yuchen Yan, Miao Song, Danyang Tian, Ehsan Moradi-Pari, Mark Steyvers. Human-AI Collaboration: Trade-offs Between Performance and Preference. Manuscript currently unavailable.

Sheer Karny, Lukas William Mayer, Jackie Ayoub, Miao Song, Haotian Su, Danyang Tian, Ehsan Moradi-Pari, and Mark Steyvers. 2024. Learning with AI Assistance: A Path to Better Task Performance or Dependence?. In Collective Intelligence Conference (CI ‘24), June 27–28, 2024, Boston, MA, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3643562.3672610

(in-review @ Nat. Hum. Behav.) Elizabeth Cisneros, Sheer Karny, Richard B. Ivry, Jonathan S. Tsay. Differential Aging Effects on Implicit and Explicit Sensorimotor Learning. In bioRxiv (p. 2024.07.02.601091). https://doi.org/10.1101/2024.07.02.601091

Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar, Catarina Belem, Sheer Karny, Lukas William Mayer, Xinyue Hu, Padhraic Smyth. What large language models know and what people think they know. Nat Mach Intell (2025). https://doi.org/10.1038/s42256-024-00976-7

Previously was called ``The Calibration Gap Between Model and Human Confidence in Large Language Models’‘

Posters

Elizabeth Cisneros, Jonathan Tsay, Sheer Karny, Richard Ivry. Differential effect of age on implicit and explicit motor learning processes. Neural Control of Movement Conference (NCM ’23), April 18-23, 2023, Victoria, BC, Canada.

Talks

“Learning with AI Assistance”. Talk at the ACM Collective Intelligence Conference (CI ’24); Human-AI Teaming plenary session.