AI is moving fast, but the data behind it is a mess – and privacy teams are the first to see the cracks. Unknown inputs, uneven controls, and nonstop pressure to “approve AI” have pushed privacy leaders into a corner they never asked for.
The good news? Most privacy programs already have the discipline, structure, and instincts to steer AI safely at scale. Now it’s about turning that foundation into real, operational muscle. Join IAPP, BigID, UPS, PwC, and Verily for a look at what it really takes to bring order to AI chaos – and how privacy teams can lead the way.
You’ll walk away with:
- Practical ways to establish data visibility
- The top risk signals to watch for in real-world AI deployments
- How privacy, legal, and technical teams can set clear expectations for AI
- A straightforward model for scaling AI governance with the resources you already have
Speakers:
- Jake Meek, Partner – Data Risk & Privacy, PwC
- James Boxton, Global Privacy Supervisor, UPS
- Alexis Hall, Product & Privacy Counsel, Verily
- Heather Kuhn, Sr. Privacy Counsel, BigID