Machine Learning Fairness and AI: A Conversation with Adam Kalai

OpenAI researcher Adam Kalai sits down with UC San Diego professor Mikhail Belkin to discuss his work in machine learning, algorithmic fairness, and artificial intelligence. Kalai has contributed research in areas like fairness in AI models, word embeddings, and human-AI collaboration. He has worked at Microsoft Research and has published influential papers on bias in machine learning models. His work has helped shape discussions on ethical AI and the development of more equitable AI systems. Series: "Data Science Channel" [Science] [Show ID: 40264]