Cross-disipline

What You Need to Know (And Why You Should Care) About AI Governance

Michelle Frost

Michelle Frost

Michelle Frost is an AI Advocate at JetBrains. With over a decade of engineering experience, Michelle holds a Bachelor of Science in Computer Science from the University of Missouri at Kansas City, a Master of Science in Artificial Intelligence from Johns Hopkins University, and is a Microsoft AI MVP. As an established AI and Machine Learning specialist, Michelle focuses on Responsible AI development. Her approach is grounded in creating AI that is fair, accountable, and transparent.

Michelle is also an active member and Tech Advisor to The Center for Practical Bioethics' Ethical AI Initiative. When not behind the screen, she can be found tending to her garden with her 100 lb pup Wilbur by her side.

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AI governance is no longer just for your legal team, but is becoming a daily reality for developers, designers, and product managers. The rapid adoption of AI agents taking real-world actions introduces an entirely new risk profile for product teams as well.

But what does "governance" actually look like when you’re debugging an agent's reasoning loop or trying to hit a sprint deadline without getting blocked?

This session skips legal theory to focus on what product teams actually need to know. We’ll look at how to translate high-level guidelines like NIST’s AI Risk Management Framework and the EU AI Act into practical engineering decisions. We will use a beginner friendly governance framework as a lens on how to balance innovation with accountability, helping your team navigate: what we need to do for the product, what we should do ethically, what we must do legally, and what we can do technically.

Whether you’re writing code or managing the roadmap, you’ll leave with practical strategies to build systems that are resilient, compliant, and ready for global deployment.