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