Overview
- The committee convened its first meeting in Bengaluru to scope a state policy, a risk classification for AI systems, and an implementation roadmap for public services.
- Officials set a 60‑day deadline for an interim report and 90 days for final recommendations covering policy, risk tiers, and deployment guidance.
- Membership spans industry, academia, law and policy, with representatives from IBM, Accenture, Kyndryl, Wipro, IIIT‑Bangalore and NASSCOM, and the KITS managing director as member secretary.
- Early priorities include restricting practices such as social scoring, unlawful or disproportionate surveillance, discriminatory profiling or exclusion, and high‑stakes automated decisions without meaningful human oversight.
- Planned safeguards target high‑risk uses in welfare, healthcare, education, policing, recruitment, finance and public safety, alongside data‑governance alignment with the Digital Personal Data Protection Act, transparency and audits, cybersecurity, procurement due diligence, and guidance on generative‑AI risks like misinformation and deepfakes.