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About

Esin Durmus is a leading researcher in artificial intelligence, specializing in the safety, evaluation, and societal impacts of large-scale foundation models. Her work critically examines the opportunities and risks of these models, with a focus on alignment, fairness, and robustness. Durmus is best known for her seminal contributions to the landmark report "On the Opportunities and Risks of Foundation Models" (2021), which has garnered over 2,100 citations and helped define the modern AI paradigm. This work systematically analyzes the capabilities and dangers of models like GPT-3 and BERT, establishing a framework for understanding their central yet incomplete role in AI. Her research has been instrumental in advancing methods for evaluating model behavior, detecting biases, and ensuring that powerful AI systems align with human values. Durmus's insights have shaped both academic discourse and policy discussions on responsible AI development. Her work continues to influence how researchers and practitioners approach the deployment of foundation models, making her a key voice in the ongoing effort to harness AI's potential while mitigating its risks.