APPLICATIONS ARE closed.
The AI Safety Fellowship will provide you with the opportunity to work with federal government AI Safety initiatives to help shape AI policy to create a more prosperous, equitable future for AI governance. Federal agencies have been tasked with many responsibilities in the 2023 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and could benefit from additional support to advance the safe and responsible development and utilization of AI.
This Fellowship program aims to:
Build and support internal capacity in federal agencies to advance AI safety consistent with the AI EO
Expand the number of public interest technology experts in the federal government
Cultivate agency experience among civil society technical experts
Advance a flourishing and equitable future by addressing the present risks and potential harms posed by AI
To achieve these goals, TechCongress will place several mid- to late-career technologists with significant AI technical expertise and strong socio-technical perspectives at federal agencies to support work implementing the AI executive order and other related AI safety challenges.
Responsibilities
As an AI Safety Fellow you will:
Work directly with leadership at a federal agency for one year starting between August 2024 - September 2024, pending completion of a federal background check. Some federal agencies that have ongoing AI Safety efforts and may be options for placement include the Department of State, Department of Commerce, Department of Energy, and Department of Homeland Security.
Perform duties to support effective execution and implementation of tasks set forth by the AI executive order. Related tasks might include:
Researching relevant AI issues, including risk management, safety and security, auditing, model assessments, red-teaming, and other key topic areas.
Preparing AI threat assessments by working with experts across government.
Informing the automated capability evaluations other AI/ML engineers are building.
Communicating technical AI knowledge with stakeholders across sectors to develop guidance and best practices.
Advising agency leadership and agency Chief AI Officers on relevant AI policy issues.
Communicating complex AI concepts to both technical and non-technical audiences.
Informing the development of technical guidelines and best practices for AI safety.
Building coalitions with partners and other groups to support effective, responsible implementation of related tasks.
Support TechCongress by writing about and presenting your experience periodically, as well as representing TechCongress and the AI Safety Fellowship at meetings or events.
Eligibility
While successful candidates may not meet all of these requirements, below is what we’re looking for in AI Safety Fellows:
Seven or more years of work experience or postgraduate study in artificial intelligence and machine learning, computer science or engineering, or other relevant technology fields.
Tech savvy or socio-technical expertise, with experience working in or studying in the technology industry or the public interest technology sector.
Advanced technical ability and training.
Great interpersonal and communication skills.
Ability to work with cross-sector stakeholders from industry, academia, civil society, government, among others.
Ability to work in a fast-paced, collaborative environment.
Flexibility and comfort with ambiguity in a rapidly evolving issue space.
The AI Safety Fellowship is an opportunity for mid- to late-career technology professionals to get hands-on experience working with a federal agency and support its AI policy work. The program embraces diversity and believes that a wide range of views, backgrounds, and experiences will contribute to improved policy outcomes.
Location
This position is likely based in agency offices in Washington, D.C or San Francisco, California. Exceptions may be made for remote work based on agency needs, but that will be determined at the offer stage. If you are unable or unwilling to be located in D.C. or San Francisco this may affect your candidacy for the fellowship.
Frequently Asked Questions
General Questions
How long is the fellowship, and what are the start and end dates?
Is remote participation in the fellowship possible?
Why is remote work not possible?
Is the fellowship renewable and / or could it be converted into a permanent position?
Who is eligible for the program?
Do I have to be a U.S. citizen to apply?
How is the fellowship funded?
Selection & Placement
How are fellows selected?
- Potential for leadership in AI policy
- Professional achievements and technical ability
- Commitment to building a diverse and cross-sector AI policy ecosystem
- Potential for future growth and career advancement
- Interpersonal, communication and “tech-translation” skills
- Individual plans for incorporating the fellowship experience into specific career goals
What is the background check?
What is the Diversity Referral Award? Is TechCongress offering the Diversity Referral Award for this fellowship?
Fellowship Experience
What benefits are included in this fellowship?
Conflicts of Interest
- Significantly impair the fellow’s objectivity, or
- Create an unfair competitive advantage for any person or organization
- Past, existing and future paid and unpaid activities
- Board affiliations
- Consultancies or other interests and sources of financial support
In order to preserve the integrity of the TechCongress fellowship, and ensure that the fellow is not compromised by the appearance of a conflict of interest, the fellow will be required to sign a statement affirming that there is no conflict of interest or competing interest that would preclude a fellow from participating in the AI Safety Fellowship. The term “Conflict of Interest” applies not only to the applicant, but to the interests of others in which the applicant has significant financial interest, including the applicant’s partner or dependents. In addition to this statement, fellows must comply with laws, rules, and standards of conduct applicable to federal government employees and may be required to sign statements affirming compliance with these requirements.
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