Carlos Guestrin: How Can You Trust Machine Learning?

Machine learning (ML) and AI systems are becoming integral to every aspect of our lives. As these technologies make more decisions for us, and the underlying ML systems become increasingly complex, it is natural to ask: How can I trust machine learning? In this talk, Stanford Computer Science Professor Carlos Ernesto Guestrin presents a framework anchored on three pillars—clarity, competence and alignment—for driving increased trust in ML. The discussion touches on both algorithmic and human processes that can help lead to AIs that are more effective, impactful and trustworthy.