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About

Karan Goel is a leading researcher at the intersection of machine learning, natural language processing, and AI safety. He is best known for his foundational work on large-scale AI models, most notably as a co-author of the landmark 2021 report *On the Opportunities and Risks of Foundation Models*, which has garnered over 2,100 citations. This seminal paper introduced the term "foundation models" to describe powerful, broadly trained models like BERT, DALL-E, and GPT-3, and critically examined both their transformative potential and the significant risks they pose—shaping the global conversation on responsible AI development. Goel’s research focuses on making large models more efficient, interpretable, and aligned with human values. His contributions have influenced how researchers and practitioners think about the capabilities and limitations of foundation models, and his work continues to guide efforts in building safer, more robust AI systems.