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Fully Funded IAPS AI Policy Fellowship 2025 in USA | Apply Now

Apply Now: IAPS AI Policy Fellowship 2025 (Fully Funded, USA or Remote)

Applications are officially open for the IAPS AI Policy Fellowship 2025, a unique and fully funded opportunity designed for individuals passionate about the future of artificial intelligence policy. This prestigious 3-month fellowship offers participants the chance to engage in high-level policy work either in Washington, D.C. or remotely. Regardless of your location, all selected fellows are required to participate in a two-week in-person residency in Washington, D.C., from September 1–12, 2025.

Following the residency, fellows can choose to complete the remainder of the program—running until November 21, 2025—either in person in Washington, D.C., or remotely from anywhere in the world.

This fellowship is open to individuals from diverse professional and academic backgrounds. It is designed to foster collaborative, interdisciplinary efforts to develop practical and forward-thinking AI policy frameworks. Fellows will have the opportunity to work on real-world policy challenges, contribute to actionable outcomes, and build a strong foundation in AI policy.

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IAPS AI Policy Fellowship Program Overview

  • Host Country: United States

  • Fellowship Location: Washington, D.C. or Remote

  • Program Duration: 3 Months

  • Dates: September 1 to November 21, 2025

  • Residency Period: September 1–12, 2025 (Mandatory in Washington, D.C.)

  • Application Deadline: May 7, 2025

  • Funding: Fully Funded


IAPS AI Policy Fellowship Program (Financial Support)

The IAPS Fellowship is fully funded, offering generous stipends to support fellows throughout the program:

  • Senior Fellows: $22,000

  • Junior Fellows: $15,000

This financial support covers living expenses, travel for the residency period, and other associated costs during the fellowship.


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 IAPS AI Policy Fellowship Goals

The IAPS AI Policy Fellowship is designed to:

  • Address pressing real-world AI policy challenges

  • Support the development of concrete and practical policy recommendations

  • Offer expert mentorship from leaders in AI governance

  • Provide structured opportunities for career development and networking

  • Strengthen the AI policy credentials and portfolios of participants


IAPS AI Policy Fellowship Program (Key Focus Areas)

Fellows will work on one or more of the following high-impact policy topics:

  • National security and defense implications of AI

  • Government use and procurement of AI technologies

  • AI applications in chemical, biological, radiological, and nuclear (CBRN) domains

  • Export controls and regulations related to AI systems

  • Technical and ethical evaluations of AI models

  • Global geopolitics and AI strategy

  • AI governance via hardware-enabled mechanisms

  • Regional AI policy strategies (e.g., U.S., U.K., EU)

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IAPS AI Policy Fellowship  Eligibility Requirements

  • Open to applicants worldwide – Remote participation is available to all, regardless of location.

  • No technical AI background required – Fellows from non-technical backgrounds are encouraged to apply.

  • Applicants wishing to work in D.C. full-time must have legal work authorization in the United States.

  • Candidates will be selected based on their professional experience, subject-matter knowledge, and potential to contribute meaningfully to AI policy development.


IAPS AI Policy Fellowship Program (How to Apply)

Interested applicants must submit their applications through the official IAPS website. Ensure you prepare all necessary materials and apply before the May 7, 2025 deadline.

Apply for the IAPS AI Policy Fellowship 2025

This is a remarkable opportunity to gain hands-on experience in AI policy, collaborate with global experts, and contribute to shaping the future of artificial intelligence governance. Whether you’re a policy analyst, researcher, legal expert, or a professional from another field, the IAPS AI Policy Fellowship offers the resources and platform to make a lasting impact.


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