Agent Trust & Safety

We study Trust & Safety for AI agents, from single-agent behavior to multi-agent behavior.

Our research examines how agents observe, plan, and act—and how groups of agents communicate before, during, and after collaboration. We aim to develop agents that are reliable, controllable, transparent, and robust in real-world environments.

Visit our research website → https://trust-safety.github.io