Thao Amelia Pham

I work on problems of cooperative AI, specifically, techniques and foundational methods to ensure advanced AI agents cooperate and navigate the real-world environment safely. Some research directions I'm working on include:

  • Verification of cooperation in large-scale multi-agent AI systems
    • Can game-theoretic and simulation-based methods to detect collusion and emergent misalignment?
  • Transparency and oversight mechanisms in adversarial multi-agent environments
    • Whether they improve coordination or introduce covert communication risks?
  • Reinforcement-learning approaches for inducing robust prosocial behaviour

I'm originally from Vietnam. I'm finishing up my B.A. in Mathematics and Computer Science in the United States. Connect with me via email.

Updates

Jan 27, 2026
I presented poster at LaMAS @ AAAI-26, Singapore on my new paper: Scheming Ability in LLM-to-LLM Strategic Interactions. I'm grateful to be awarded ACM-W scholarship to attend the conference.
Jul 23, 2025
I gave a lightning talk on my on-going research on multi-agent deception at the Human-aligned AI Summer School 2025.
Jul 10, 2025
I presented my poster on my ongoing research on multi-agent deceptive behavior modeling at the Cooperative AI Summer School 2025.
May 30, 2025
I began my Coefficient Giving-funded research project on multi-agent safety.
Apr 4, 2025
Our paper, APriCoT, accepted at CogSci 2025.
Sep 20, 2024
Two papers, Base-Rate Effect on LLM Benchmark Performance and Large Language Model Recall Uncertainty, accepted to EMNLP 2024 and CoNLL 2024.