Rayid Ghani

Rayid Ghani, the Director of the Center for Data Science and Public Policy at the University of Chicago, shares insights on applying machine learning for social good. He explores the crucial role of explainability in AI, emphasizing the need for relevant context in decision-making. Ghani discusses data-driven strategies from political campaigns and the ethical challenges in predictive modeling. He highlights the importance of trust and feedback mechanisms to improve model transparency, particularly in sensitive areas like healthcare and public safety.