Demystifying the Top 5 Questions of AI Governance

Data Science Leaders

AI governance is more important than ever, but confusion reigns about basic questions such as: what it is, why it is important and what we should do about it. As an AI, data science, or business leader, you need to dispel these governance misconceptions in order to manage AI risk and ensure the safety and reliability necessary to drive adoption and impact. The ability of your organization to drive impact with AI, and potentially your career, depends on it.
Join us as host Kjell Carlsson, gives an opinionated take on the basic questions of AI governance:

• Why you should care about AI governance (and why it goes beyond ethics and regulation)
• What AI governance is (and how it differs from ethical AI, responsible AI, and trustworthy AI)
• Why AI governance is difficult (and the gap between frameworks and practices)
• What AI governance looks like in practice (across the AI/ML lifecycle)
• What we need for AI governance (and the capabilities to do it at scale)