Syllabus: Awareness in the fields of IT, Space, Computers, robotics, Nano-technology, bio-technology and issues relating to intellectual property rights
Context: Central government has released India AI Governance Guidelines emphasizing hands-off regulation approach focusing on trust and safety.
About AI Governance Guidelines
- Centre released AI Governance Guidelines emphasizing trust, safety, and innovation in artificial intelligence adoption nationwide.
- Called “AI Governance Guidelines” not AI regulation to avoid perception of throttling AI adoption in India.
- Six Key Recommendations
- Infrastructure and Access: Expand access to AI infrastructure; leverage digital public infrastructure for scale, impact, and inclusion.
- Capacity Building: Build capacity by skilling in AI ensuring workforce readiness for AI-driven economy and technology adoption.
- Regulatory Framework: Adopt balanced, agile, flexible frameworks for regulating AI avoiding rigid regulations that hinder innovation.
- Risk Mitigation: Mitigate risks by addressing “India-specific” factors requiring tailored approaches for local context and challenges.
- Accountability: Boost accountability in AI ecosystem
- Transparency: Greater transparency about how different actors in AI value chain operate.
- Approach Shift
- Previous framework emphasized minimizing risks inherent in deploying AI systems prioritizing safety over innovation.
- Current model scales back risk focus to promoting innovation with guardrails balancing development with safety.
- Report strips away much previous work by NITI Aayog and OECD that was foundational to earlier draft framework’s approach.