AI & Machine Learning

FPF Member Training: Navigating AI Compliance in the U.S. Legal Landscape

March 16, 2026 @ 12:00PM ET

Overview

Join us for the next complimentary FPF member training on Navigating AI Compliance in the U.S. Legal Landscape, taking place March 16 from 12:00pm – 1:00pm ET.

As AI technologies become embedded across industries, organizations face a complex and evolving compliance environment. AI systems are subject to a patchwork of legal frameworks—from state privacy laws and sector-specific regulations to emerging AI-specific requirements and longstanding consumer protection and civil rights protections. The challenge for practitioners is not just tracking new proposals, but understanding how existing laws apply to AI systems today and how to operationalize compliance across multiple, often overlapping, regulatory regimes.

In FPF’s training on Navigating AI Compliance in the U.S. Legal Landscape, participants will:

Anticipate emerging requirements: Gain awareness of proposed legislative and regulatory developments that may shape near-term compliance obligations

Understand the current compliance landscape: Learn which federal and state laws currently govern AI systems, how they interact, and where requirements overlap or conflict;

Identify compliance obligations: Explore how existing privacy, consumer protection, civil rights, and sector-specific laws apply to AI development, deployment, and use; and

Register here to attend this live training webinar for FPF members. For questions, email [email protected].

Speakers

Daniel Berrick

Senior Policy Counsel for Artificial Intelligence, FPF

Daniel Berrick is a Senior AI Policy Counsel at the Future of Privacy Forum. He focuses on the data governance law and policy challenges posed by artificial intelligence technologies, including agentic systems, foundation models, and highly personalized AI products and services. In this role, Daniel collaborates with industry leaders, peers, and the broader privacy community to identify and develop best practices for AI development and deployment.

Daniel received his JD from Duke University School of Law (cum laude) and his BA (magna cum laude) from Hamilton College. He holds CIPP/US and CIPP/E certifications recognizing his expertise in U.S. and EU privacy law.