Minding Mindful Machines: AI Agents and Data Governance Considerations

Daniel Berrick, CIPP/E, CIPP/US, Senior Policy Counsel for AI, Future of Privacy Forum
Bret Cohen, Partner, Privacy and Cybersecurity Practice, Hogan Lovells
Justin Webb, CIPP/US, Associate General Counsel, Cybersecurity, Privacy and AI, Snap Inc.
Ashley Zlatinov, Head of Product Public Policy, Anthropic

Leading large language model developers have released technologies described as “artificial intelligence agents.” These systems are designed to exercise greater autonomy over complex, multi-step tasks, such as navigating on a user’s web browser to take actions on their behalf and resolving customer service issues. The use of AI agents promises to be transformational across different sectors, while also raising novel privacy, AI governance, and tech policy considerations about the collection and processing of personal data for personalization, output accuracy, safety testing and human oversight. Featuring industry experts, this panel will unpack the defining characteristics of the newest AI agents and identify some of the privacy, AI governance, and tech policy considerations that practitioners should be mindful of when designing and deploying these systems.

What you will learn:

• Learn about the defining characteristics of the latest AI agents and how they differ from existing LLMs. 
• Gain insight into how the unique design elements and characteristics of the latest agents may exacerbate or raise novel privacy, AI governance, and tech policy challenges around the collection and disclosure of personal data, security vulnerabilities, the accuracy of outputs, barriers to alignment, and explainability and human oversight. 
• Discover how privacy, AI governance, and broader tech policy questions raised by LLMs, such as challenges related to the collection and processing of personal data for model training, operationalizing data subject rights, and ensuring adequate explainability, also affect AI agents.