NITI Aayog - Responsible AI for All: Facial Recognition Technology
AI / PRIVACY / CYBER RELEVANCE
Directly relevant to biometric AI, automated identification and privacy/security risks.
AI: Very HighPrivacy: Very HighCybersecurity: Moderate
READ FIRST
- Facial-recognition use-case analysis
- privacy, fairness, consent, accuracy and accountability sections
PURVIEW
Applies Responsible AI analysis specifically to facial-recognition technology, making it one of the most directly relevant policy documents for biometric AI. Its purview includes privacy and consent, proportionality, bias and discrimination, accuracy, false matches, surveillance risks, security, accountability and the consequences of deploying automated identification in public or institutional settings. The paper therefore provides a practical policy lens for evaluating biometric AI against privacy, fairness, necessity, security and human-oversight principles.
Classification and legal status. Non-binding discussion / use-case paper.