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About

Andy Shih is a leading researcher at the intersection of artificial intelligence and multi-agent systems, whose work has profoundly shaped the trajectory of modern AI. He is best known as a core contributor to the landmark report "On the Opportunities and Risks of Foundation Models" (2021), which has amassed over 2,100 citations. This seminal work defined the paradigm of large-scale, adaptable models like GPT-3 and BERT, coining the term "foundation models" and sparking global discourse on their transformative potential and inherent risks. Beyond this foundational contribution, Shih has pioneered novel approaches to multi-agent learning. His research on "Influencing Towards Stable Multi-Agent Interactions" introduces proactive influence algorithms that move beyond reactive adaptation, enabling agents to strategically shape the behavior of opponents or partners for more stable and effective outcomes. This work addresses the fundamental challenge of non-stationarity in multi-agent environments, offering a pathway toward more robust and cooperative AI systems. Shih’s dual impact—from defining the foundation model era to advancing multi-agent stability—marks him as a visionary shaping both the present and future of artificial intelligence.