AI Governance & Responsible AI
Ship AI responsibly: principles and risks, regulations (EU AI Act, India's DPDP Act and AI guidelines, sector rules), AI risk and impact assessments, policies and documentation, and operating governance.
AI Governance & Responsible AI
Ship AI responsibly: principles and risks, regulations (EU AI Act, India's DPDP Act and AI guidelines, sector rules), AI risk and impact assessments, policies and documentation, and operating governance.
In one line
AI governance is the set of policies, reviews and controls that make sure AI is safe, fair, legal and accountable, so teams can ship faster with fewer surprises.
The 6 classes
Principles and risks
Know the main responsible-AI principles and risks.
- Principles must turn into checks.
- List risks per feature.
- Name an accountable owner.
Regulations to know
Understand the main laws and frameworks at a PM level.
- Know your feature's risk tier.
- Personal data → DPDP duties.
- Check sector regulators and current guidance.
AI risk and impact assessment
Assess a feature before launch.
- Assess before launch, not after incidents.
- Evidence = evals and red-team results.
- Sign off residual risk explicitly.
Policies and documentation
Write the documents governance needs.
- Document purpose, data, evals and limits.
- Disclose AI to users.
- Keep decision logs.
Operating governance
Run governance without slowing teams down.
- Tier the process by risk.
- Have an incident playbook.
- Re-check periodically.
Final project
Govern a real AI feature.
- Governance is a product practice.
- Evidence over promises.
- Make it lightweight for low risk.
Interview questions
What is responsible AI?
Building AI that is accountable, safe, fair, private and transparent, backed by processes and evidence.
How does the EU AI Act affect products?
Obligations depend on risk tier; high-risk uses like hiring or credit need risk management, data governance, documentation and human oversight.
What does DPDP mean for AI features?
Lawful consent/purpose, minimal data, user rights, security, and care with personal data in prompts and logs.
How do you run a risk assessment?
Describe use, identify risks, rate them, add mitigations with eval evidence, sign off residual risk, monitor.
How do you keep governance fast?
Tiered reviews, templates, automation of checks, clear owners.
