Research

AI Thought Partners
Developing AI systems that learn and think with people

Building AI systems designed to collaborate with humans as thought partners — learning and thinking with people rather than instead of people.

Learning from Small Data
Probing the limits of learning and teaching with minimal examples

Investigating the fundamental limits of learning from very few examples, including less-than-one-shot learning, dataset distillation, and soft-label prototypes.

Representational Alignment
Studying parallels between human and artificial intelligence representations

Understanding how representations in artificial neural networks relate to representations in the human mind. We use representational alignment as a tool to study these parallels and improve AI systems.