The Context

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AI is moving rapidly from experimentation to decision-making — across enterprises, Digital Public Infrastructure, finance, healthcare and governance. The question is no longer whether organisations will use AI. The real question is: 

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Who Governs When AI Acts

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While national platforms such as the India AI Impact Summit have advanced conversations on innovation and scale, leadership readiness for risk, accountability, compliance and public trust remains inadequately addressed. Also, the idea of Sovereign AI and its regulation are critical to India. 

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Geoffrey Hinton, widely considered the godfather of Deep Learning, observes:

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"We need to think very hard about how to control AI systems that could become more intelligent than us.”

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Responsible AI is now a leadership responsibility — shaping enterprise risk, regulatory exposure, reputation and societal trust.

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This conclave brings together leaders across business, policy, law, academia, technology and civil society to shape India’s pathway to Responsible AI, a first in a nationwide dialogue on the same theme.

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Why Attend

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Most AI events focus on tools and use cases. This conclave focuses on what leadership must now govern and what everyone else should be informed and wary of.

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Dialogue Streams

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Curated Fireside Conversations

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1. Governance Frameworks & Operational Reality

Lifecycle techno-legal governance across design, deployment, monitoring, audit and risk ownership. Operationalizing AI accountability through lessons learnt from previous frameworks.

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2. Innovation, AI Leadership & Public Authority

Aligning innovation velocity with regulatory readiness and public–private responsibility.

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Advancing innovation-first AI growth with regulatory readiness, building national capability in compute, data and indigenous AI through strong public–private collaboration.

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3. Civil Society, Constitutional Values & Public Policy

Fairness, non-discrimination, due process, societal legitimacy, addressing bias and safeguarding citizen rights and public trust in automated decisions.

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4. Regulation in Practice & Public Good

Governing AI deployment in public infrastructure, welfare systems and population-scale systems. Balancing growth with inclusion and distributive justice.

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Who Should Attend

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Primary

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• Leadership & Decision Makers 

• Board Members & Independent Directors CEOs, CXOs and Founders

• Chief Data, Digital and Technology Officers

• Chief Risk, Compliance and Legal Officers

• Academia from Public Policy, Law, Technology, ESG, Trust and Governance Leaders

• Promoters of mid-sized enterprises Serious AI Startup Founders

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Also Relevant for

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• Senior technology and product leaders 

• Consultants and advisory professionals 

• Policy researchers 

• Think tanks 

• Impact investors 

• Decision-makers responsible for AI 

• Students of business, law, engineering, healthcare and others.