Mastering the art of AI governance to unlock generative AI innovation

Just when we thought privacy leaders didn't have enough on their plate, the newly created Artificial Intelligence Governance Professional Body of Knowledge spun up overnight with some of those organizations including the IAPP. Even the U.S. government took the initiative to announce its derivative toward ensuring people innovate a safe, secure and trustworthy AI ecosystem for the future.

While industries try to get a gauge for what's coming in the rapidly evolving landscape of generative AI, they must build programs to manage risk. How do I pick the right AI governance framework? What are the regulatory and ethical expectations around AI governance? What steps do I need to take to improve my organization's performance against these frameworks? What does a mature AI governance program look like? This session will offer insights, methodologies and strategies to fortify your organization’s AI governance program. Join us to learn how you can help enable your enterprise to embrace generative AI innovation while staying safe and compliant.

Our expert panel explored:

• What practical components of an AI governance program are.
• What the range of AI risk frameworks emerging in the market are.
• What criteria you should consider to select the right framework.
• How to identify and mitigate risks relative to generative AI.
• How to measure your organization's performance against these frameworks.
• How to reassess assessments that include AI vendors and automate the response process.