Context :India’s AI Safety Institute (AISI):
- Announced under the Safe and Trusted Pillar of the IndiaAI Mission.
- Aimed at mitigating AI risks while promoting indigenous AI development.
Relevance : GS 2(Social Issues) , GS 3(Economy)
Global Precedents:
- Similar institutes established in the U.K., U.S., Singapore, and Japan.
- Focus areas include risk evaluation, ethical AI, deepfake detection, cybersecurity, and AI governance.
India-Specific Challenges:
- AI bias and discrimination: Risk of unrepresentative datasets.
- Linguistic and technological diversity: Need for inclusive AI solutions.
- Hub-and-Spoke model: Collaboration between government, startups, academia, and industry.
Indigenous AI Development Initiatives:
- Startups like Karya addressing unrepresentative data challenges.
- IndiaAI Mission’s Responsible AI Projects: Ethical AI, watermarking, bias mitigation.
Global Collaboration & Standardization:
- Need for a global AI safety taxonomy to standardize risk assessments.
- India’s AISI should support an international AI model notification framework.
- Reference to the Bletchley Declaration on AI safety.
India’s Role in the Global South:
- Many emerging economies lack resources for AI safety.
- India can lead AI safety governance efforts among Global South nations.
Policy Recommendations for AISI:
- Develop indigenous AI safety tools and frameworks.
- Align with global AI governance frameworks while ensuring local adaptability.
- Strengthen collaboration with UNESCO and other international bodies.
