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02ARCS Lab — Research Area · Trust & Ethics

Trustworthy AI.

Trust is the currency of effective human-AI collaboration. Our lab investigates how trust develops, breaks, and recovers in human-AI teams — with particular attention to the ethical dimensions of AI behavior and their downstream effects on team performance and decision-making.

Publications
22
Lab Authors
2

Research focus

  1. Trust calibration, repair, and spread in mixed human-AI teams
  2. The role of AI ethics and moral personas on trust and performance
  3. Context-dependent trust: how domain risk and team role shape reliance
  4. Designing transparent and explainable AI teammate behaviors
  5. Trust in ethically charged and adversarial decision environments

Methods

Like all ARCS Lab research, this area is mixed-methods: Quantitative Qualitative Computational

How we work
H1AI-1RELIANCETRANSPARENCYVIOLATION →REPAIRTRUST CALIBRATIONFIG. 02
Fig. 02 · Trust loopCalibration · violation · repair

02 · Selected Work

Representative publications

Publications

22 papers in Trustworthy AI

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ARCS Lab member

People

Lab members in this area

ARCS Lab members who have authored publications in Trustworthy AI.