GovAI U.S. AI Policy Program | GovAI Blog

· Source: The Centre for the Governance of AI Blog · Field: Government & Public Sector — Public Policy & Governance, Regulatory & Compliance · Depth: Intermediate, short

Summary

The GovAI U.S. AI Policy Program is a 12-week, part-time, bipartisan initiative designed to advance careers in U.S. AI policy for government staffers and think tank policy analysts. Running from early September to early December 2026, with a Thanksgiving break, the program requires approximately five hours per week: three hours of independent reading and two hours of synchronous sessions scheduled after regular working hours. It is offered free of charge, with in-person participants receiving dinner. The curriculum covers general-purpose AI development, inputs like energy and chips, economic and national security impacts, corporate self-governance, and U.S. and international AI regulatory proposals. Applications are currently open, with a deadline of Sunday, June 28, 2026, at 11:59 PM ET. GovAI, founded in 2016, aims to help decision-makers navigate advanced AI.

Key takeaway

For government staffers or policy analysts aiming to deepen their expertise in U.S. AI policy, consider applying to the GovAI U.S. AI Policy Program by June 28, 2026. This free, part-time program provides a technically-informed understanding of AI governance, crucial for navigating complex policy challenges. Your participation can accelerate your career, offering direct access to leading experts and a bipartisan network, while accommodating your full-time role with flexible evening sessions.

Key insights

The GovAI U.S. AI Policy Program offers bipartisan, technically-informed training for policy professionals navigating advanced AI governance.

Principles

Method

The program involves weekly guided discussions, expert Q&A, and assigned readings/podcasts, culminating in a policy memo/op-ed and interview-based exam.

In practice

Topics

Best for: Policy Maker, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Centre for the Governance of AI Blog.