Beyond Compliance: Building Responsible AI Through Engineering Execution
About this session
As organizations rapidly adopt generative AI, technical challenges are only part of the equation. Success increasingly depends on managing privacy, compliance, governance, and cross-functional execution. Drawing on experience leading privacy and compliance initiatives at Meta and fraud programs in financial services, this talk explores practical strategies for translating regulatory requirements into scalable engineering programs, aligning engineering and legal teams, managing risk, and delivering AI capabilities without sacrificing speed or customer trust.
Speaker
Key takeaways
- Learn a practical framework for translating AI governance and regulatory requirements into executable engineering roadmaps
- Discover how to align engineering, product, legal, security, and compliance teams on high-stakes AI initiatives without slowing innovation
- Learn how to measure AI program success using technical, business, and compliance metrics that matter to executives
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