As artificial intelligence continues to transform society, government policymakers face the critical challenge of harnessing rather than being overwhelmed by this powerful technology. The George Washington University Law School (GW Law) has developed a solution through its innovative AI training initiative.

In 2024, GW Law partnered with Stanford University and Princeton University to deliver a specialized artificial intelligence training program for senior leaders and policymakers across US federal executive agencies. The program successfully concluded in September and October 2024 after two intensive sessions.

The initiative aimed to enhance government officials' understanding and application of AI technologies, equipping them with the knowledge needed to develop effective policies and regulations in this rapidly evolving field.

Comprehensive Curriculum

The training program was divided into two sessions: the first ran from September 10-12, 2024, followed by a second session from October 15-17. The curriculum covered multiple dimensions of AI technology, including:

• Fundamental AI concepts and technical foundations
• Practical applications across government sectors
• Ethical considerations and risk assessment frameworks
• Policy development strategies for AI governance

Participants engaged with the material through diverse learning formats, including case studies, small group discussions, and lectures from leading AI experts. This approach allowed policymakers to explore both the opportunities and challenges presented by AI adoption in government operations.

Strategic Collaboration

The program represents a significant step in the US government's efforts to adapt to the AI era. By collaborating with three of the nation's most prestigious academic institutions, federal agencies gained access to cutting-edge research and interdisciplinary perspectives on AI implementation.

This initiative demonstrates the growing recognition that effective AI policy requires deep technical understanding combined with governance expertise. The participating policymakers are now better positioned to develop balanced, informed approaches to AI regulation that promote innovation while addressing potential risks.