Fundamentals of AI Governance · Cohort 2Applications open
AI Governance
AI is being deployed faster than the rules governing it.
Free · No coding needed · Applications close 2 November 2026 · Starts 9 November 2026
- 6 weeksLive online, with a facilitator
- 5 to 7 hoursA week, alongside work
- 50 peoplePer cohort. Limited seats.
- GlobalOpen to anyone, anywhere
Who it’s for
- Policy · Governance
You work on systems that affect people. AI is reshaping them.
For people in public policy, law or governance roles. No ML background needed.
- Researcher · Student
You know how to learn. You want to point it at something that matters.
For students and researchers in social science, economics, law or the humanities.
- Professional · Practitioner
You work in industry. You want to understand what’s coming.
For people in product, operations, consulting or corporate roles.
Live, in small pods, with people who take it seriously.
Fundamentals of AI Governance, Cohort 2
Six weeks, one policy memo
- Week 01from 9 NovState of play at the frontierAI capabilities and core risksExercise Capabilities mapping
- Week 02from 16 NovPower, windows and dependenciesCompute, labs and geopoliticsExercise Policy landscape scan
- Week 03from 23 NovThe proposal landscapeTreaties, audits and international regimesExercise Audit exercise
- Week 04from 30 NovRace conditions and power concentrationGovernance in the limitExercise Strategic risk simulation
- Week 05from 7 DecContested questions in AI governanceOpen-source vs closed, and liabilityExercise Policy briefing memo
- Week 06from 14 DecFinding your leverage pointIndia’s role, MeitY and global career pathwaysExercise Leverage design
A week, in three steps
- 01ReadOne reading sets up the question.
- 02DiscussTwo hours live, in a pod of 6 to 8.
- 03ExerciseHands-on, so the idea becomes yours.
In their own words
From people in Cohort 1.
“The cohort connected global AI risks to local realities and made clear that AI safety is not a conversation reserved for advanced economies.”
SylviaCo-Founder, Ethicore AI Uganda“The weekly sessions were highly interactive. The live hands-on exercises let us apply concepts in real time.”
Chekuri YukthamukhiStudent · NIT Agartala
What you leave with
The six exercises
- week 01exerciseCapabilities mapping
- week 02exercisePolicy landscape scan
- week 03exerciseAudit exercise
- week 04exerciseStrategic risk simulation
- week 05exercisePolicy briefing memo
- week 06exerciseLeverage design
- donesix exercises, one policy memo
Alumni network
Weekly discussions continue after your cohort ends.
Questions
Anything else? Write to contact@aisafetyindia.org.
Do I need a technical or ML background?
No. The governance track is built for people with a background in public policy, law, international relations, economics or social science. You will build a firm handle on the core machine-learning concepts needed to govern AI, without needing to code.
What does it cost, and when is Cohort 2?
The 6-week course is free. Applications open on 15 September 2026 and close on 2 November 2026. The course starts on 9 November 2026.
What will I be able to do after?
Analyse compute governance and model auditing, understand international policy regimes, assess the liabilities of open and closed models, and navigate India’s tech sovereignty strategy.
Graduates go on to roles such as AI policy analyst, safety governance consultant, regulatory affairs specialist and policy research fellow.
Is this only for people from India?
No. The cohort is open globally. Cohort 1 had people from nine countries across four continents. The programme is anchored in India’s frameworks (MeitY, NITI Aayog, DPDP Act) and also examines global trends like the EU AI Act.
What happens after the 6 weeks?
You receive a certificate of completion and join the AISIN alumni network. From 2027, high-performing graduates will be able to apply for a 12-week research fellowship with a stipend, producing real published outputs.
Not sure which track? Compare them
| Compare | Technical AI Safety | AI Governance |
|---|---|---|
| Who it is for | Engineers, ML people, STEM researchers and students | Policy, law, social science, economics and industry roles |
| Background needed | Basic Python | None, no coding |
| Each week you make | A lab: code, evals, interpretability | An exercise: scans, audits, a policy memo |
| You finish with | A research design | A real policy memo and your leverage point |
| Then | Research fellowship, technical safety track | Governance and policy research fellowship |