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Artificial intelligence (AI) and machine learning (ML) have emerged as increasingly significant areas of inquiry and debate in science, technology, and society. From search engines, advertising, and chatbots to autonomous weapon systems, driverless vehicles, financial risk management, law enforcement, and medical diagnosis, AI and ML are being integrated within many services and products across a range of industries. At the same time, AI-enabled technologies are facilitating discrimination, raising questions on privacy and transparency, fueling fears about labor shortages, and feeding competition on the international stage. The challenge of today and tomorrow is taking a human-centered approach to filling the gap between technology, ethics, and policymaking. We will review and discuss industry use cases to better understand the complexity and evolution of AI. Students will work on a semester-long group research policy project on a topic of their choice.