Sayash Kapoor is a researcher and author known for advancing AI accountability. His work exposes reproducibility crises in machine learning, offering frameworks to audit and fix flawed studies. Researchers and data scientists benefit from his guidelines on transparent methodology, while policymakers use his insights to shape ethical AI regulations.
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