SKILL ROADMAP 44 · SPECIALISED LEGAL FIELDS
AI Governance
How AI works → Risks of AI → Indian framework → Global frameworks → AI and other laws → Organisational governance → Policy work → Specialisation
Track your progress
- This roadmap has 8 steps, 5 checkpoints and 3 projects.
- Open the interactive version to tick checkpoints and projects. Your progress is saved in your browser.
1 What this path is
AI governance is the law and policy of how AI systems are built, used and controlled, covering risk, accountability, transparency, bias, privacy and intellectual property.
2 Who this path may suit
The work involves following fast changing rules, understanding technology, policy writing and advising organisations that build or use AI.
3 The roadmap, step by step
- Understand how AI works.
Learn: in plain terms how AI systems are trained, how they produce outputs and why they make mistakes.
Practise: by explaining one AI system to a non technical reader. - Understand the risks.
Learn: bias, opacity, misuse, deepfakes, privacy harms and safety issues.
Practise: by mapping the risks of one AI use, such as facial recognition. - Learn the Indian framework.
Learn: how AI is currently governed in India through the IT Act and Rules, data protection law, advisories and government guidelines on AI governance. This area changes quickly, so check the latest official documents.
Practise: by preparing a note on the current Indian position. - Learn global frameworks.
Learn: the EU AI Act and its risk based approach, and widely used standards such as ISO/IEC 42001 and the NIST AI Risk Management Framework.
Practise: by classifying three AI uses under the EU AI Act. - Connect AI to other laws.
Learn: AI questions in copyright, data protection, consumer protection, employment and liability.
Practise: by writing a case comment on an AI related dispute. - Learn organisational governance.
Learn: AI use policies, impact assessments and oversight structures.
Practise: by drafting an AI use policy and an AI impact assessment for an imaginary company. - Do policy work.
Learn: to write AI policy briefs and consultation responses.
Practise: by writing a brief on regulating one AI use in India. - Specialise. > The role of AI in your own work: AI can help summarise regulations and draft first versions, but it can miss recent changes and invent sources. Check every rule against the official text and keep confidential information out of tools unless permitted. You stay responsible for the work. For tools and workflows, see the AI Legal Hub.
Learn: a focus such as AI in finance, healthcare, employment or public services.
Practise: with a sector focused project.
4 Your levels and checkpoints
Beginner level
- Explain how AI works and its main risks
Intermediate level
- Explain the Indian and EU approaches
- Draft an AI use policy
Advanced level
- Conduct an AI impact assessment
- Write a strong AI policy brief
Advanced professional level
You advise organisations or governments on AI governance.
These checklists are for honest self assessment. They are not an official certification.
5 Build these projects
- An AI use policy
- An AI impact assessment
- An AI policy brief
6 Internship direction
Look for technology law teams, tech policy organisations and company trust and safety or governance teams. Prepare an AI policy brief as your sample.
7 Portfolio evidence
Policies, assessments and briefs.
8 Common mistakes
- Treating proposals and drafts as settled law
- Writing about AI without understanding how it works
9 Go deeper
Cyber and AI Law Guidebook · AI Legal Hub