From Rules To Resilience: Rethinking India’s AI Governance For A Future-Ready Ecosystem

Updated: March 03, 2026 23:50

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India is transitioning its artificial intelligence (AI) governance strategy from rigid rule-making to a resilience-focused, innovation-friendly approach that balances safety, inclusion, and competitiveness. The new framework, anchored in seven guiding principles and institutional reforms, seeks to drive responsible AI adoption while protecting users and enhancing national capabilities.

India’s AI governance narrative is rapidly evolving as policymakers rethink traditional regulatory models to build resilience across sectors. Recent regulatory developments underscore a shift from compliance-only controls toward a balanced, principle-based strategy that supports innovation, societal trust, and national interests. The discourse has gained urgency against global competition and domestic priorities, including ethical use, human-centred design, and strategic autonomy.

Key Highlights

The Changing Policy Landscape

India’s draft amendments to the Information Technology Rules 2021 introduce regulations for synthetically generated information, signalling recognition of risks such as deepfakes and misinformation. This marks a step toward addressing AI-related harms while prompting broader governance discussions.
A principle-based AI governance framework released in 2025 focuses on safe, trusted, inclusive innovation rather than prescriptive rules. It prioritises trust, human oversight, fairness, and resilience across the AI lifecycle.

Seven Guiding Principles

The framework is grounded in seven core principles or “sutras” including People First, Trust, Innovation Over Restraint, Fairness and Equity, Accountability, Understandability, and Safety and Resilience. These aim to balance technological progress with societal protection.

Institutional mechanisms such as the AI Governance Group, Technology and Policy Expert Committee, and AI Safety Institute are proposed to operationalise governance and risk mitigation.

Balanced And Pragmatic Regulation

Experts note India’s approach avoids extremes of overly light or heavy regulation, aiming instead for a pragmatic model that fosters innovation while safeguarding users and societal values.
Sector-specific regulators are empowered to oversee implementation, reflecting a contextual and flexible governance strategy.

Strategic And Inclusive Adoption

AI governance is positioned as a tool for inclusive growth, aligning with national goals such as Viksit Bharat 2047 and “AI for All.” Emphasis on accessibility and capability building aims to democratise AI across healthcare, agriculture, finance, and governance.

Source: Moneycontrol, Press Information Bureau (PIB), Economic Times

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