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About

Rodrigo Castellon is a leading voice in the study of large-scale AI systems, with a primary focus on the societal implications, risks, and governance of foundation models. His seminal work, "On the Opportunities and Risks of Foundation Models" (2021), which has garnered over 2,100 citations, is a landmark report that coined the term "foundation models" to describe powerful, broadly trained models like BERT, DALL-E, and GPT-3. Castellon’s contribution lies in framing these models as both critically central to modern AI and fundamentally incomplete, highlighting their dual potential for transformative benefit and systemic harm. This work has shaped global conversations on AI safety, ethics, and regulation. Beyond this, Castellon is recognized for his interdisciplinary approach, bridging technical AI research with policy and social science. His insights have influenced how researchers and policymakers think about model transparency, bias, and accountability. For students and researchers, Castellon’s work is essential reading for understanding the promises and perils of the foundation model era.