Think mere data protection, security, and governance is tough? Governing AI ups the ante, significantly. In addition to the model governance, explainability and experiment management that machine learning requires, generative AI adds things like mitigating hallucination, avoiding prompt injection, and preventing data exfiltration. Now, ponder governing AI agents, which have the privilege of autonomy, the power of reasoning, and the ability to solve for—and modify—their own goals, and things orders of magnitude tougher. This isn’t just about data cleansing and access control, it’s about accountability, explainability, and control over autonomous processing. But if we think governance of AI through from the start, rather than layering it on as an afterthought, there’s good reason to believe we can be both successful and safe. Join our panel of experts to hear their ideas around these important questions, and share your own.