Syllabus: Awareness in the fields of IT, Space, Computers, Robotics, Nano-technology, Bio-technology and issues relating to intellectual property rights.
Context
- Ministry of Electronics and Information Technology (MeitY) released India AI Governance Guidelines.
Purpose
- Establish consistent regulation as India becomes the second largest user of LLMs after the U.S.
- LLM stands for Large Language Model, a type of artificial intelligence that uses deep learning to understand and generate human-like text.
- Aim: use AI for inclusive development while addressing risks to society and individuals.
Key Objectives
- Promote responsible, people-centric, transparent, and accountable AI usage.
- Classify risks, assign responsibility, and push AI safety research.
Institutional Framework
- Proposes an AI Governance Group linking ministries, regulators, and standards bodies.
- Private sector expected to ensure legal compliance, transparency reports, and grievance redressal.
- Relies on AI Safety Institute (AISI) under IndiaAI Mission.
Key Recommendations
- Build AI infrastructure, increase access to computing and datasets.
- States encouraged to expand AI adoption through data and compute availability.
- Suggests legal changes to copyright law to address AI-related IP disputes.
- Focus on AI models for Indian languages using culturally relevant datasets.
Alignment with Government Initiatives
- Consistent with procurement of GPUs and enabling access to compute infrastructure.
- Supports integration of Digital Public Infrastructure (e.g., Aadhaar) with AI.
- Government retains flexibility to enact stricter laws, especially related to deepfake content authentication.