IAPS AI Policy Fellowship | Fully Funded

The IAPS AI Policy Fellowship in the USA 2025 is a fully funded opportunity for professionals from diverse backgrounds who want to strengthen their policy skills in tackling advanced AI challenges. Before applying, individuals can join an informational webinar on April 22 for an overview and live Q&A. Applicants eligible for both the D.C. and remote options can apply for both, as selections are made separately. Choosing both on the application form is recommended to maximize the chances of selection.

During IAPS residency fellowship program in Washington, D.C., from September 1-12, fellows will attend trainings on AI systems and policy challenges and will also participate in different events like policy briefing, roundtable meetings, and networking sessions. Fellows can join the remaining program remotely from around the world and will receive a support budget for attending conferences, seminars, and meeting with their designated coordinator. Fellows who will attend the entire fellowship program in Washington will get office space and will attend regular in-person events to collaborate and engage with other participants.

This international fellowship program in USA is organised to facilitate an easy transition into AI policy occupation. The program will prepare and teach important skills and knowledge required to excel in AI policy. Participants will get weekly guidance from their coordinator on project management, effectiveness, and career advancement. Fellows will get feedback on their progress from experts through weekly work-in-progress sessions. Participants will also get access to a professional network which will help to identify potential opportunities. In some cases, fellows can get additional financial help after the program to support career transitions.

AI Policy Fellowship in the USA 2025:

Host Country:

Host Organization:

IAPS (Institute for AI Policy and Strategy)

Fellowship Location:

Washington, D.C., and remotely

Fellowship Dates and Duration:

September 1- November 21, 2025 (3 months)

Benefits of IAPS AI Policy Fellowship in the USA 2025:

The in-person fellowship duration (September 1-12) will be fully funded. All travel expenses including air tickets, meals, and accommodation will be covered.
Senior fellows will receive a stipend of $22,000 to work full-time during this 3 months program.
Fellows will receive a stipend of $15,000 to work full-time during this 3 months program.
The host organisation can provide part time options for exceptional fellows.
Technical expertise in AI systems is not necessary.
Fellows who will attend the complete program in Washington will get office space and will attend regular in-person events to collaborate and engage with other participants.

Check Judicial Fellowship Program 2025 in USA | Fully Funded

Eligibility Criteria for IAPS AI Policy Fellowship in the USA 2025:

All fellows have to attend a required in-person residency in Washington D.C. from September 1- 12 but will have the option to attend the rest of the program in-person in D.C. or remotely.
Applicants can be from technical and policy backgrounds like government, industry, expert groups, etc.
Applicants should have Fellow and Senior Fellow positions for an array of seniority levels.
Candidates should have the right to work in the U.S.
Candidate will be selected as a Fellow or Senior Fellow based on their expertise and past experience.

How to apply for IAPS AI Policy Fellowship in the USA 2025:

Apply through the online application form.
Enter your personal background information.
Upload the required documents.
Select the areas of AI policy and strategy you would like to work on.
Answer all multiple choice questions and short answer statements according to the instructions mentioned.
Select all the options related to your past or current professional experience.
Answer the optional questions if you want to.
Mention the additional information asked.
Read the terms and conditions and agree by clicking the checkboxes.
Click ‘Submit’ to submit your application form.