GS 3: Science & TechnologyGS 2: GovernanceGS 2: International RelationsPrelims
Safe & Trusted AI Pillar under IndiaAI Mission Strengthens Citizen Trust through Secure, Fair and Responsible AI Solutions
IndiaAI Mission commits ₹10,371 crore to 'Safe & Trusted AI' pillar, fostering secure, ethical solutions, combating deepfakes, and shaping global AI governance for citizen trust.
The IndiaAI Mission, approved in March 2024 with an outlay of ₹10,371 crore over five years, aims to build a comprehensive AI ecosystem.
Its Safe & Trusted AI pillar promotes responsible AI development through indigenous governance frameworks, standards, and evaluation mechanisms.
The AI Safety Institute has been established to advance science-based research on AI safety and governance.
India AI Governance Guidelines provide a risk-based framework addressing algorithmic bias, misinformation, and deepfakes.
India is supporting 20 indigenous sovereign AI model proposals, including Sarvam AI's large language models.
Over 26 lakh individuals have completed the YUVA AI for All programme, and 686 fellowships have been awarded.
India actively engages with global processes like GPAI, G20, and UN to shape international AI governance norms.
Detailed Insights:
The IndiaAI Mission comprises seven pillars: IndiaAI Compute, Foundation Models, AIKosh, IndiaAI Application Development Initiative, FutureSkills, Startup Financing, and Safe & Trusted AI.
Progress includes 93 lakh GPU hours sanctioned for compute, 62 AI prototypes developed, and 27 India Data and AI Labs established.
13 Responsible AI projects have been approved in educational institutions, focusing on bias mitigation, machine unlearning, and privacy-preserving AI.
Key projects include Saakshya for deepfake detection and AI Vishleshak for audio-visual forgery detection.
NIT Raipur is developing responsible AI algorithms for healthcare, while IIT Delhi is working on privacy-preserving machine learning using federated learning.
IIT Jodhpur is developing techniques for machine unlearning to remove unwanted information from generative models.
The India AI Governance Guidelines propose institutional mechanisms like the AI Governance and Economic Group (AIGEG) and Technology and Policy Expert Committee (TPEC).
India's "AI for All" vision aims for inclusive development while ensuring AI remains safe, trusted, and aligned with socio-economic priorities.
The India AI Impact Summit 2026 led to New Delhi Frontier AI Impact Commitments and a Guidance Note on AI Governance.
Key Concepts Involved:
IndiaAI Mission: A comprehensive national program to build an AI ecosystem in India.
Safe & Trusted AI: A pillar of the IndiaAI Mission focusing on ethical and secure AI development and deployment.
Responsible AI: The principle of developing and using AI in a way that is fair, transparent, accountable, and beneficial to society.
AI Safety Institute: An institution established to conduct research and promote safe, secure, and trustworthy AI development.
India AI Governance Guidelines: A policy framework for managing AI risks, including algorithmic bias and deepfakes.
Deepfake Detection: Technology used to identify manipulated or synthetic media, particularly audio and video.