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 Ethical AI Initiative at The Center for Practical Bioethics. When not behind the screen, she can be found tending to her garden with her 100 lb pup Wilbur by her side.
AI governance is no longer just for lawyers and policymakers– it’s now in the hands of developers, designers, and product teams. With the newer laws like the EU’s AI Act, Biden’s AI Executive Order, and emerging state regulations, the rules of the game are changing, and technologists are on the front lines of making them work. But what does “governance” even mean when you’re debugging an algorithm or shipping a new feature? And why should you care?
In this talk, we’ll cut through the legal jargon and get real about what these regulations mean for the people actually building AI systems. How do these laws impact your day-to-day work? How can you design systems that align not just with regulatory requirements but also with your organization’s values? And how can you stay creative and innovative while navigating a growing web of rules?
We will also zoom out to look at how legislation fits into the bigger picture of AI governance, from frameworks like NIST’s AI Risk Management Framework to corporate guidelines like Microsoft’s Responsible AI Standards. By the end of this session, you’ll have a better understanding of what’s ahead, a set of practical tools for evaluating governance requirements, and strategies to balance innovation with accountability. Whether you’re writing code, managing projects, or making strategic decisions, this session will help you build AI systems that are not just cutting-edge, but also responsible, mindful, and ready for the future.
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