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Ivana Bartoletti Urges India to Follow Its Own Path in AI Governance, Not Copy Western Models

Ivana Bartoletti Urges India to Follow Its Own Path in AI Governance, Not Copy Western Models

Ivana Bartoletti of Wipro says India should design AI governance frameworks suited to its scale, talent, and “techno-legal” approach rather than replicating Western laws. She emphasizes governance as a strategic capability to enable long-term innovation and trust in AI.

India has the opportunity to chart its own course in artificial intelligence governance, rather than replicating Western models, according toIvana Bartoletti, Global Chief Privacy and AI Governance Officer atWipro. Speaking at the India Today AI Summit 2026, Bartoletti highlighted that India possesses the scale, talent, and digital infrastructure to develop a framework uniquely suited to its context.

Bartoletti cautioned against assuming that AI governance is synonymous with compliance or strict laws, as is often the perception in Europe. “Governance of AI has got nothing to do with compliance. It's got nothing to do with the law. It's got nothing to do with risk management… It's about long-term innovation,” she explained.

Governance as a Strategic Capability

According to Bartoletti, the focus of governance should be on enabling organizations and countries to innovate safely over time. Many AI projects fail to deliver returns because companies do not choose the right models, solutions, or risk approaches. Governance, in this view, is about providing a structured method to make AI adoption effective and accountable.

India’s Unique “Techno-Legal” Approach

Bartoletti praised India’s “techno-legal” approach, which emphasizes all-round accountability and looks at the real-world impact of AI rather than imposing blanket regulation. She noted that frameworks like the European AI Act may reflect different cultural and regulatory contexts and may not suit India’s innovation-driven ecosystem.

She advised a step-by-step approach to governance:

  • Identify harms as they arise

  • Intervene where necessary

  • Assess if existing legislation suffices

  • Introduce soft or hard regulations incrementally

Building Trust and Responsible AI

For Bartoletti, the ultimate goal of governance is not to slow down AI adoption, but to build trust so it can scale responsibly. She emphasized focusing on a country’s or organization’s capacity to absorb and manage AI capabilities, rather than merely on the technology itself.

Her guidance underscores India’s potential to establish a governance model that balances innovation with accountability, setting a precedent for other emerging economies to follow.

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