Introduction to Cooperative AI

Facilitated Course

The Cooperative AI Foundation runs a facilitated 8-week online ‘Introduction to Cooperative AI’ course which aims to deepen your understanding of the field and help you feel more prepared to start or join an ongoing project in cooperative AI.

  • 8-week online structured programme
  • 4.5 - 5.5 hours commitment per week.
  • Weekly 90-minute discussion group, facilitated by a field practitioner.
  • Structured around our curated curriculum, which includes exercises to deepen your knowledge and plenty of optional content to engage with too.
  • Access to a dedicated forum and group chats.
  • Receive a certificate of completion.

Topics covered:

  1. What is Cooperative AI?
  2. Mixed Motive Settings
  3. Large and Complex Systems of Agents
  4. Cooperative Agents
  5. Cooperative Infrastructure
  6. AI for Human Cooperation
  7. Back-fire Risks
  8. Prioritisation

Who this course is aimed at: the course is open to diverse backgrounds and career stages, and we expect little prior knowledge from participants. As long as you have an interest and some experience in beneficial AI, and are comfortable reading academic publications, the course should be accessible. Previous participants have included a PhD student in economics, a software engineer, a freelance journalist, and a lecturer in computer science.

Apply for our next course

Course Title

Introduction to Cooperative AI (Spring 2026)

Deadline for Applications

15th February 11:59 AoE

Course Dates

9 March - 1 May