As organizations move from AI experimentation to enterprise-wide deployment, the question is no longer if AI should be governed—but how to do it effectively, at scale, and with accountability.
Join us in exploring how leading organizations are operationalizing AI governance to build trust, mitigate risk, and enable responsible innovation.
This session features Alexandra Ross, Senior Director, Data Protection, Use & Ethics Counsel at Autodesk, and Asha Saxena, WLDA CEO and Founder, discuss on how to provide a practical, executive-level view into what it takes to govern AI in today’s rapidly evolving landscape.
What You’ll Learn:
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How leading organizations are structuring AI governance (committees, stakeholders, and trust teams)
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The role of board oversight and executive accountability in Trusted AI
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Practical approaches to mitigating AI risk through technical controls and governance frameworks
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Embedding transparency, data privacy, and security into AI systems
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Building organizational capability through training, awareness, and talent strategy
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How AI governance intersects with broader enterprise functions including privacy, security, and data governance
Grounded in real-world implementation at Autodesk and informed by emerging research on AI risk and adoption, this session is designed for executives navigating the complexities of scaling AI responsibly.