India AI Impact Summit 2026 Convenes Global Leaders On Open Data Regulation; Panel Calls For “Structured Openness”

Dr. Shashi Tharoor, Member of Parliament (Lok Sabha) for Thiruvananthapuram, delivered the keynote address, framing data governance as a question of power, sovereignty and value extraction. He advocated for “structured openness” — an approach that prioritises open data infrastructure while deliberately building guardrails and domestic capacity to prevent inequalities and external dependency.

The session was moderated by Professor (Dr.) C. Raj Kumar, Founding Vice-Chancellor and Dean, Jindal Global Law School, O.P. Jindal Global University, who guided the discussion on whether data sharing should evolve from a voluntary practice into an institutional duty backed by statute.

Mr. Cyril Shroff, Managing Partner, Cyril Amarchand Mangaldas, argued for a statutory and regulatory open-data framework to address government data siloing and provide the legal certainty needed to foster investor confidence, responsible innovation and market-led growth.

Mr. Arun S. Prabhu, Partner & Co-Head (Digital | TMT Practice), Cyril Amarchand Mangaldas, emphasised that effective open-data governance requires the law to systematically address operational issues such as anonymisation, standardisation and purpose limitation, while clearly defining the objectives for data sharing.

Ms. Rama Vedashree, former Chief Executive Officer, Data Security Council of India (DSCI), highlighted that India's open data ecosystem often lacks machine-readability, rich metadata and interoperability, and noted that “open” must increasingly mean usable for AI and other advanced applications.

From the private sector, Ms. Irina Ghose, Managing Director, Anthropic (India), underlined the need for a trust continuum from data origin to end-use. She proposed concepts such as a “model context protocol” to enable contextual, local-language and domain-specific data to be usable at scale for AI applications.

Dr. Sasmit Patra, Member of Parliament (Rajya Sabha), observed that a trusted and reliable data infrastructure is essential for evidence-based policymaking and cited AI-driven crop-loss prediction as a high-impact public-interest use case.

Ms. Asha Jadeja Motwani, Founder, Motwani Jadeja Foundation, synthesised the discussion and called for enforceable open-data laws, recognition of public data as core digital infrastructure, and stronger international alignment to advance shared global AI governance goals.

Speakers emphasised that open data must increasingly mean usable, and that datasets should be machine-readable, richly annotated, and delivered through AI-ready public data infrastructure — including APIs, interoperability standards, and reliable, scalable access — so they can safely power public-interest AI applications. The session concluded that a combination of enforceable law, technical standards and international cooperation will be central to a workable open-data regime suitable for the AI age.

The India AI Impact Summit 2026 brought together global leaders from government, industry and civil society at Bharat Mandapam, New Delhi, to deliberate on collective principles and actionable roadmaps for AI governance and ecosystem development.