School of Government and Policy (SGP) AI Fellowship Program 2026

Applications are now open for the School of Government and Policy (SGP) AI Fellowship Program 2026, an elite fellowship designed for ambitious early-career researchers, policymakers, and practitioners interested in shaping the future of Artificial General Intelligence (AGI) governance. The program brings together emerging leaders to explore the most pressing challenges and opportunities arising from rapid advances in AI and AGI.

Led by renowned experts including Gillian Hadfield, Seth Lazar, and Nicholas Caputo, the fellowship combines rigorous academic learning, policy discussions, and collaborative problem-solving focused on the future of AI governance.

Fellowship Overview

• Program: SGP AI Fellowship Program 2026
• Focus Area: Artificial Intelligence (AI) and AGI Governance
• Target Audience: Early-career researchers, policymakers, technologists, and practitioners
• Format: Fellowship and Leadership Development Program
• Application Status: Open
• Theme: Preparing society for the AI transition and the age of AGI

Program Highlights

Participants will engage in:

• Expert-led seminars and policy discussions.
• Deep dives into emerging AGI governance challenges.
• Collaborative research and problem-solving.
• Networking with future leaders in AI governance.
• Cross-disciplinary learning at the intersection of technology, policy, ethics, and governance.
• Building long-term professional networks to support collaboration throughout the AI transition.

Key Topics Covered

The fellowship explores some of the most important questions facing humanity as AI capabilities continue to advance:

Frontier AI Regulation

• State-level AI legislation
• Federal AI policy frameworks
• Global AI governance models
• Regulatory approaches to frontier AI systems

Societal Resilience

• Preparing societies for rapid technological change
• Managing economic and social disruption
• Institutional readiness for advanced AI systems

Democratic AGI Alignment

• Embedding democratic values into AI systems
• Public participation in AI governance
• Governance mechanisms for advanced AI development

New Governance Institutions

• Designing institutions for the AGI era
• Future public policy frameworks
• International coordination and cooperation

Human Identity and AGI

• Philosophical implications of artificial minds
• Human flourishing in an AI-driven world
• Ethical questions surrounding AGI development

Who Should Apply?

The fellowship is particularly suited for:

• Policy researchers
• Government professionals
• AI governance researchers
• Public policy students
• Lawyers and legal scholars
• Economists
• Social scientists
• Technologists and AI practitioners
• Civil society leaders
• Think tank researchers

Ideal Candidate Profile

Applicants should demonstrate:

• Strong interest in AI governance and public policy.
• Intellectual curiosity about emerging technologies.
• Leadership potential.
• Commitment to public service and societal impact.
• Ability to engage in interdisciplinary discussions.
• Interest in shaping the future of AI and AGI governance.

Why Apply?

The AI Fellowship Program offers a rare opportunity to engage directly with leading experts on some of the most consequential challenges of the 21st century. Fellows will gain:

• Advanced knowledge of AI governance.
• Exposure to cutting-edge policy debates.
• Access to a network of future AI leaders.
• Mentorship from globally recognized scholars.
• Opportunities for long-term collaboration across sectors.

As AI capabilities continue to evolve, the fellowship aims to cultivate a generation of leaders equipped to guide society through the opportunities and risks of the AI transition.

Official Information

For application details and deadlines, applicants should refer to the official SGP AI Fellowship application portal.

If you are passionate about AI policy, governance, ethics, and the future of humanity in the age of AGI, the SGP AI Fellowship Program 2026 is an exceptional opportunity to develop expertise and contribute to shaping the future of intelligent systems.