AI Governance as a Driver of Innovation Amidst Regulatory Flux

Bret Cohen, Partner, Privacy and Cybersecurity Practice, Hogan Lovells
Saima Fancy, CIPP/C,  Data Governance Product Manager, Adobe
Ken Priore, CIPP/E, Associate General Counsel, Product and Partnerships, Docusign

Regulatory frameworks are struggling to keep up with the unprecedented pace of artificial intelligence technology development, resulting in a body of fluid regulatory requirements and balancing tests for responsible AI development that create a significant governance gap. This session provides a practical guide for privacy professionals on how to proactively design and implement internal AI governance frameworks to fill this void and drive responsible innovation. The panel will explore how these frameworks provide clarity amidst regulatory ambiguity, enabling organizations to accelerate AI development and deployment with confidence. Key topics include ethical guidelines, risk management protocols, transparency measures, and accountability mechanisms. The discussion will highlight how organizations are using operational controls such as risk and data use registers, administrative controls, and cross-departmental “trust councils” to bring these frameworks to life. It will focus on how organizations can leverage these frameworks not just for compliance, but also to build customer trust, foster innovation, and gain a competitive advantage in the rapidly advancing AI landscape.

What you will learn:

• Understand the complexities of regulatory uncertainty in AI oversight and explore how proactive internal governance frameworks can address this gap, offering clarity while fostering innovation.
• Develop/design and implement an AI governance framework that aligns with organizational mission, values, and strategic objectives, emphasizing ethical AI usage, risk tolerance, and regulatory compliance.
• Gain practical strategies for managing AI implementation, adoption and data use in your enterprise, focusing on building trust, fostering innovation and ensuring responsible AI practices across all departments.