Comments on the Sub-Committee’s Report on AI Governance Guidelines
This document presents CoRE-AI’s detailed review and recommendations on the Sub-Committee’s Report on AI Governance Guidelines, released by the Ministry of Electronics and Information Technology (MeitY). As India’s largest multi-stakeholder initiative on AI governance, CoRE-AI has conducted extensive consultations with industry leaders, startups, academia, civil society, and independent experts to provide balanced, practical, and forward-looking insights for shaping India’s AI policy landscape.
Key Highlights
- AI Governance Principles – Should AI regulations be universal or sector-specific? We propose a segmented approach for B2C, B2B, and B2G applications.
- Leveraging Technology for Governance – Tech-driven oversight is essential, but how do we balance compliance with innovation without stifling growth?
- Deepfake and Malicious AI Content Mitigation – Is watermarking truly effective, or will bad actors always find a way around it? We examine the risks and alternatives.
- Intellectual Property Rights (IPR) and AI – If AI learns from copyrighted data, is it stealing or innovating? The legal battle over AI training datasets is just beginning.
- Whole-of-Government Approach – With multiple ministries involved, is India’s AI governance at risk of regulatory overlap? We outline a framework for streamlined policy action.
- AI Incident Database – Should AI-related harm be reported like cybersecurity breaches? We explore the trade-offs between transparency, liability, and business interests.
- Safe Harbour Protections – If AI creates harmful content, who is responsible—the model developer or the deployer? The answer isn’t as straightforward as you might think.
Comments on the Sub-Committee’s Report on AI Governance Guidelines
This document presents CoRE-AI’s detailed review and recommendations on the Sub-Committee’s Report on AI Governance Guidelines, released by the Ministry of Electronics and Information Technology (MeitY). As India’s largest multi-stakeholder initiative on AI governance, CoRE-AI has conducted extensive consultations with industry leaders, startups, academia, civil society, and independent experts to provide balanced, practical, and forward-looking insights for shaping India’s AI policy landscape.
Key Highlights
- AI Governance Principles – Should AI regulations be universal or sector-specific? We propose a segmented approach for B2C, B2B, and B2G applications.
- Leveraging Technology for Governance – Tech-driven oversight is essential, but how do we balance compliance with innovation without stifling growth?
- Deepfake and Malicious AI Content Mitigation – Is watermarking truly effective, or will bad actors always find a way around it? We examine the risks and alternatives.
- Intellectual Property Rights (IPR) and AI – If AI learns from copyrighted data, is it stealing or innovating? The legal battle over AI training datasets is just beginning.
- Whole-of-Government Approach – With multiple ministries involved, is India’s AI governance at risk of regulatory overlap? We outline a framework for streamlined policy action.
- AI Incident Database – Should AI-related harm be reported like cybersecurity breaches? We explore the trade-offs between transparency, liability, and business interests.
- Safe Harbour Protections – If AI creates harmful content, who is responsible—the model developer or the deployer? The answer isn’t as straightforward as you might think.