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    Govern AI before it governs you

    2 min read

    India AI Governance Guidelines

    The India AI Governance Guidelines, introduced by MeitY, aim to balance technological advancement and trust. The government demonstrates confidence in the nation's innovation ecosystem by promoting AI growth while emphasizing accountability, transparency, and human oversight.

    Significance for Businesses

    • Encourages businesses to scale AI responsibly with clear governance frameworks.
    • Emphasizes a human-centric approach to AI development and deployment.

    Global Perspective on AI Regulation

    The need for AI regulation is underscored by global incidents. EY's 2025 'Responsible AI Pulse' survey highlights financial losses from AI-related incidents, averaging damages over $4.4 million per company surveyed.

    International Regulatory Approaches

    • EU AI Act: Implements a risk-based framework with heavy penalties for non-compliance, up to ₹40 million or 7% of global turnover.
    • US Approach: Targets algorithmic discrimination and consumer transparency.
    • China's Strategy: Focuses on stringent content labelling and licensing for generative AI models.

    India's AI Governance Framework

    India's framework is non-prescriptive, fostering innovation while ensuring safety. The RBI's FREE-AI Committee Report suggests seven guiding principles, including fairness and accountability.

    Implementation and Challenges

    • Recommendations for board-approved AI policies, AI-incident reporting, and risk-based audits.
    • Importance of human oversight in high-stakes sectors like healthcare and law enforcement.
    • Need for universal non-negotiables to ensure AI innovation doesn't compromise integrity.

    Survey Insights

    • 80% of EY survey respondents defined responsible AI principles.
    • Only 67% adopted controls, and 66% established real-time monitoring.

    Frameworks and Standards

    Organisations like ISO and NIST have introduced AI management frameworks. ISO 42001 provides guidelines for managing AI-related risks effectively.

    Conclusion

    Responsible AI innovation, embedded with ethics and transparency, offers a competitive advantage. Striking the right balance between regulation and innovation is crucial to maintaining trust and fostering sustainable development.

    • Tags :
    • EU AI Act
    • India AI Governance
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