FPF Training: The AI Regulatory Landscape in the U.S.

As AI increasingly captures public attention and experts voice optimism for its potential benefits and concerns about its potential negative impacts, the U.S. policy landscape has catapulted forward. AI-relevant legislative and regulatory proposals are prolific, but much is not specific to AI, making it challenging to keep track of—and make sense of—the state of play. From expanding privacy legislation to address data collection and processing practices to tackling AI safety, reinforcing civil rights protections to advancing risk management and standards, practitioners must triangulate across disparate areas of policy to stay ahead. In the Future of Privacy Forum’s training “The AI Regulatory Landscape in the U.S.” participants will learn about the current state of policy conversations pertinent to AI in the United States, explore themes and trace approaches characterizing recent and upcoming policy proposals that are relevant to anyone engaged in the work of developing, deploying, or assessing the impacts of AI.

Learning Objectives:

• Gain an understanding of the diffuse lenses that surround AI-related regulation
• Explore common themes across AI policy and regulatory vehicles
• Examine the Federal Government’s evolving approach to AI regulation
• Map the landscape of rhetoric and soft law instruments poised to shape AI regulation
• Understand the role of U.S. regulation vis-a-vis policy movement around the world

This training will be a live virtual session.

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