COHORT-BASED COURSE
Frontier AI Governance
Build the judgment to help shape how frontier AI is governed. Assess evidence, compare competing strategies, and test your ideas through practical exercises and discussion. Leave with a concrete plan for how you can contribute.
Online · 40 hours · Intensive or part-time · Free
COHORT-BASED COURSE
Frontier AI Governance
Build the judgment to help shape how frontier AI is governed. Assess evidence, compare competing strategies, and test your ideas through practical exercises and discussion. Leave with a concrete plan for how you can contribute.
Online · 40 hours · Intensive or part-time · Free
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Who this course is for
Technical people exploring governance
You work with AI as an engineer, researcher, product manager, or founder, and want to understand how your technical skills could inform policy and institutional decisions.
Professionals with institutional experience
You work in policy, law, national security, economics, diplomacy, journalism, or a related field, and want to bring informed judgment on frontier AI to your work.
People considering their next step
You are exploring research, fellowships, further study, or a career in AI governance, and want to test your interest through substantive work and discussion.
What you'll actually do
Unit 1: Assess frontier AI evidence
Read selected system-card sections alongside independent evaluations. Write briefings for decision-makers and take part in a simulated oversight board.
View Unit 1Unit 2: Map institutions and power
Map who can act on frontier AI, where their power depends on others, and where institutional gaps or policy windows create opportunities.
View Unit 2Unit 3: Compare governance strategies
Compare competing approaches to governing frontier AI. Reconstruct arguments you disagree with and examine what would change your view.
View Unit 3Unit 4: Test proposals under pressure
Stress-test governance ideas against accelerating capabilities, competition between labs and states, and the concentration of power.
View Unit 4Unit 5: Defend a position
Your group chooses one debate: open-weight models or restraining frontier AI development. Read competing arguments, write a position, and defend it in discussion.
View Unit 5Unit 6: Plan your contribution
Assess your skills and opportunities. Get peer feedback on a concrete 30-day action and a six-month plan for contributing to AI governance.
View Unit 6How it works
Preparation
Time
Price
Dates and format
Choose a six-day intensive or a six-week part-time cohort. Both cover the same material: around 6–7 hours per day or week, including preparation and live discussion.
After the course
Join the wider BlueDot alumni community to exchange ideas, find collaborators, and hear about jobs and fellowships. Use your course roadmap to choose your next step, whether that means research, a policy role, further study, or a project of your own.
Where relevant, explore BlueDot's Rapid Grants and Career Transition Grants. Interested in teaching? See facilitation opportunities.
FAQ
The focus is frontier AI and AGI: the policy, coordination, and institutional decisions that shape the development and deployment of increasingly capable AI. It is not a course on corporate compliance or internal AI-use policies.
No previous BlueDot course or technical qualification is required. Some familiarity with AI capabilities and risks will help. Come ready to read critically, write, and defend and revise your views.
The course draws heavily on US examples, alongside the UK, EU, China, and international coordination. You will examine how institutions and political context affect what can work in different jurisdictions.
We run discussions across a range of time zones. You will share your availability so we can match you with a group. Choose a cohort whose dates work for you, and allow time to complete the readings and exercises before each discussion.
This is a 40-hour course built around readings, exercises, and facilitated discussion. It can help you explore your direction and prepare for further work in the field. It does not include a full-time research placement.
