Source: TH
Context:
The Ministry of Electronics and Information Technology (MeitY) released the India AI Governance Guidelines, a revised framework aimed at guiding the development and deployment of artificial intelligence (AI) in India. The document updates the earlier consultation draft published in January 2025.
The guidelines are designed to balance innovation with safety, positioning India’s AI governance as globally responsible yet innovation-friendly.
Focus Areas:
- Human-centric AI development
- Responsible, ethical deployment of AI
- Inclusive and accessible AI solutions
- Risk mitigation through adaptive, flexible innovation ecosystems
Core Principles of AI Governance
The guidelines outline seven key principles for AI in India:
- Trust: Ensuring AI systems are reliable and credible.
- People-Centricity: AI should serve human interests and societal welfare.
- Responsible Innovation: Encouraging AI development while mitigating ethical and social risks.
- Equity: Promoting fairness and inclusivity in AI access and outcomes.
- Accountability: Establishing clear responsibility for AI outcomes.
- Understandability of LLMs (Large Language Models): Enhancing transparency and interpretability of AI systems.
- Safety, Resilience, and Sustainability: Ensuring AI systems are secure, robust, and environmentally responsible.
Approach and Significance
- The framework reflects India’s largely hands-off approach to AI regulation, focusing on enabling innovation rather than heavy prescriptive oversight.
- Seeks to signal global AI governance leadership by balancing trust, safety, and responsible innovation.
- Aims to foster ethical, people-oriented AI deployment across sectors while minimizing risks.
IndiaAI Hackathon 2025: Mineral Targeting
Objective: Use AI/ML for mineral mapping, exploration, and resource discovery
Organizers: IndiaAI Mission & Geological Survey of India (GSI), Ministry of Mines
Winning Teams & Solutions:
- First Prize (₹10 lakh): CricSM AI – Critical & strategic mineral mapping using AI
- Second Prize (₹7 lakh): Knowledge & Data-Driven Mineral Targeting Approach
- Third Prize (₹5 lakh): SUVARN – Semi-unsupervised value-adaptive resource network
- Special Prize (₹5 lakh): AI/ML solutions for new exploration of REE, Ni-PGE, Copper, diamond, iron, manganese, gold
