Product, business & communication
Apply responsible-AI and data-protection basics
Bias, transparency, consent, DPDP Act/GDPR basics, model documentation.
~6 focused hours·beginner
Tools: Model/data documentation templates, bias-testing checklists, DPDP Act / GDPR reference guides
Market relevance — share of job ads asking for this
What employers mean
You should be able to…
- Apply DPDP Act (India) basics — consent, purpose limitation, data minimization — to an AI feature
- Check a model or dataset for obvious demographic bias before launch
- Write clear consent/disclosure language when a user is interacting with an AI system
- Document a model's known limitations for internal and external audiences
- Identify when a use case needs a human-in-the-loop for legal or ethical reasons
- Explain the difference between DPDP Act and GDPR obligations for an Indian company serving global users
Needs first: Explain how LLMs work and where they fail
Learn — free, link-checked
The few resources that matter
Read · beginner · 30 min · ai.google
Responsible AI Practices
A second vendor's practical checklist (bias testing, human oversight) so you see governance isn't one company's opinion. — Google AI
Read · beginner · 40 min · meity.gov.in
Digital Personal Data Protection Act, 2023
The actual Indian law you're legally accountable to when an AI feature touches personal data — read it once, cite it forever. — Ministry of Electronics & IT, Government of India
Course · beginner · 45 min · learn.microsoft.com
Embrace Responsible AI Principles and Practices
Free module covering fairness, transparency and accountability with an assessed knowledge check. — Microsoft Learn
Practice
Responsible-AI checklist + model card for a resume-screening assistant
Take a hypothetical AI feature that screens resumes for a recruiting team and write (1) a DPDP Act-aligned consent and data-handling note for candidates, (2) a bias-check plan naming specific demographic attributes to test and how, and (3) a one-page model documentation card stating known limitations and required human oversight points.
Done when
- Consent note cites specific DPDP Act obligations (purpose limitation, consent, data minimization)
- Bias-check plan names at least 3 attributes to test and a method for each
- Model card states at least 2 known limitations and where a human must review before a decision
- All three documents are consistent with each other (no contradictions on data handling)
Prove it
Evidence a recruiter can check
- Public consent/data-handling note
- Bias-check plan document
- Model documentation card
Interview
Questions you'll get asked
- What does the DPDP Act require when an AI feature processes personal data?
- How would you check whether a hiring-screening model is biased before launch?
- What disclosure would you require when a user is chatting with a bot instead of a human?
- Tell me about a use case that needed a human-in-the-loop for compliance reasons, not just accuracy.
- How do DPDP Act and GDPR obligations differ for an Indian company with EU customers?
- What would you put in a model documentation card for a customer-facing LLM feature?