Artificial intelligence (AI) has rapidly developed in recent years. Today, AI tools are used increasingly by both private- and public-sector organizations around the globe. The capabilities of AI now and in the near future create widespread and substantial benefits for individuals, institutions, and society. However, these same technological innovations raise important issues, including questions about how the development and deployment of AI should be governed. We have seen similar issues in other digital contexts (for example, information security, data protection, and big data). Our failure to date to address these issues effectively in these other settings, combined with the potential power of AI applications, increases both the likelihood and the stakes of failing again. This session considers some of the key AI governance challenges and what we might learn from past experience to address those challenges here and in related areas.