Overview
Human–AI interaction examines the interface between computational intelligence and human judgment, with particular emphasis on understandable behavior and meaningful human oversight.
RESEARCH
Human–AI Interaction
Research focused on how people understand, supervise, collaborate with, and make decisions alongside artificial intelligence.
Human Oversight
Independent monitoring systems can provide additional information to users without requiring them to rely exclusively on the AI system being evaluated.
Interpretability
Warnings and assessments should communicate useful levels of uncertainty and concern rather than presenting opaque internal machine states.
Trust
Research considers how humans can calibrate reliance on AI systems when outputs may be uncertain, misleading, inconsistent, or difficult to verify independently.
Design Direction
The goal is to develop AI environments in which computational capability strengthens rather than displaces informed human decision-making.