Law & Order: AI Unit — When Your Model Becomes Exhibit A

When an artificial intelligence system is challenged in litigation, an investigation or regulatory review, attention moves quickly beyond policy language and into the mechanics of deployment. Reviewers want to know how risk was tiered, who approved deployment, what guardrails existed, what was documented, how vendors were managed, what changed over time, and whether governance kept pace as the system evolved.

This session examines where hard questions land across build, buy and hybrid AI deployments and where governance is most likely to falter under pressure. The panel will focus on the operational decisions that matter most: deployment gates, change management, risk reassessment, provenance, vendor oversight, monitoring, escalation and whether technical ownership aligns with approval authority.

Attendees will leave with a clear framework for testing governance, identifying weak points before they are exposed, and strengthening oversight in ways that hold up when decisions are challenged.

What you will learn:

• Where legal, regulatory and investigative attention is most likely to focus across build, buy and hybrid AI deployments.
• Whether approvals, documentation, escalation and oversight are aligned to actual system risk as AI systems evolve.
• How to apply a clear framework to test governance and strengthen it before weak points are exposed.