PM Modi unveils human-centric MANAV Vision for ethical AI governance in India
The five-point framework prioritizes national data sovereignty, accessible systems, and strict safety guidelines to position India as a global standards-setter.
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- Prime Minister Narendra Modi has introduced the MANAV Vision at the India AI Impact Summit in New Delhi, advocating for a human-centric approach to AI development.
- MANAV outlines five core pillars: Moral systems, Accountable governance, National data sovereignty, Accessible systems, and Validated, trustworthy AI.
- The framework introduces the principle of 'Jiska data, uska adhikar' to protect citizen data ownership and promotes watermarking to prevent misinformation.
At the India AI Impact Summit in New Delhi, Prime Minister Narendra Modi unveiled the 'MANAV' Vision, a comprehensive five-point policy framework designed to establish India as a global leader in ethical, human-centric artificial intelligence. Addressing international delegates and technology leaders, Modi emphasized that India’s approach to the AI century will prioritize developmental inclusion and safety over unregulated market expansion.
The acronym MANAV outlines five core pillars for national AI governance: Moral and ethical systems that serve human interest; Accountable governance with clear regulatory oversight; National data sovereignty; Accessible and inclusive systems for all citizens; and Valid, legitimate AI that can be independently verified. A central tenet of the framework is data sovereignty, encapsulated in the Prime Minister's slogan, 'Jiska data, uska adhikar' (Whose data, their right), which asserts that citizen data must be protected and used for public benefit rather than monopolized by global tech firms.
Modi called for global standards on digital safety, highlighting the urgent need to protect children in the digital space and enforce universal watermarking for AI-generated content to combat deepfakes. By establishing a human-centric framework, India is seeking to carve out a regulatory middle path—rejecting both the strict compliance-heavy approach of the European Union and the market-driven, hands-off model of the United States, in favor of a sovereign model optimized for the Global South.
India's MANAV framework represents a key attempt by an economic superpower to regulate AI with a human-centric, sovereign lens. By asserting that data belongs to citizens rather than foreign labs, India challenges the data scraping model of western AI companies. If successful, India’s model could become the template for other developing countries seeking to build local compute while protecting digital sovereignty.
Will India's upcoming federal AI legislation fully codify the MANAV principles, including criminal penalties for unauthorized citizen data scraping?
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