Institute for AI Policy & Strategy (IAPS) AI Policy Fellowship 2025 (Fully-funded)

The IAPS AI Policy Fellowship is a fully-funded, three-month program for professionals from varied backgrounds seeking to strengthen practical policy skills for managing the challenges and opportunities of advanced AI. The program will run from September 1 to November 21, 2025, in Washington, D.C., and remotely.

Fellows work with designated experts on projects that will influence national and global AI policies. Key policy fields include national security implications of AI, government acquisition and procurement of AI, CBRN capabilities of AI models, export controls, evaluations, geopolitics of AI, hardware-enabled mechanisms, jurisdictionally-focused policy questions (e.g., U.S., U.K., and E.U.), among several others.

Fellows’ projects can have a variety of formats depending on each expert and fellowship coordinator and will be set in partnership with each fellow. In general, fellows are expected to finalize advanced drafts of policy writing, lead presentations or events for key stakeholders, or produce smaller outputs responding to short-term policy opportunities. These concrete outputs help strengthen fellows’ AI policy track record while achieving impactful outcomes.

Benefits of AI Policy Fellowship

• Senior Fellows will receive $22,000 and Fellows will receive $15,000 as a stipend to work full-time during the 3-month program. They can provide part-time options for exceptional candidates.

Check : Deakin University Scholarships 2025 in Australia | Fully Funded

Eligibility for AI Policy Fellowship

• Anyone is welcome to apply.
• They welcome a range of policy and technical backgrounds (e.g., industry, government, think tanks), and have Senior Fellow and Fellow positions for a range of seniority levels.

Also Check : Top Fully Funded Scholarships 2025 –2026 | Study in USA, Europe, Asia & Africa

Application

The estimated time to complete this application is 2 hours. Your progress will be automatically saved, so you’re welcome to work on it across multiple sessions.

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