AI Trust & Governance Conclave 2026 — Who Governs When AI Decides

The Imperative

India's Defining
Governance Moment

Artificial Intelligence is no longer a technology concern. It is a boardroom imperative, a regulatory frontier, a constitutional question, and a societal reckoning — all at once. As AI systems make decisions in credit, healthcare, justice, and employment, the question of accountability has never been more urgent.

"When an algorithm denies a loan, decides a bail hearing, or recommends a diagnosis — who is responsible? Who governs?"

— The Core Question of Our Era

The AI Trust & Governance Conclave convenes India's most influential decision-makers, policymakers, technologists, and ethicists to forge answers, frameworks, and commitments — not just conversations.

Why Attend

Where India's AI Governance Moves from Dialogue to Decision

Knowledge Dissemination

›Distils global AI governance thinking into India-specific, actionable intelligence
›Closes the gap between responsible AI principles and operational practice
›Every session designed to deliver frameworks you can act on immediately

Ecosystem Build-Up

›Connects regulators, technologists, legal minds, civil society and investors in one room
›Builds the connective tissue for a national AI governance community
›Conversations and roundtables designed to spark lasting partnerships and collaborations

Influence & Agenda-Setting

›Conclave outcomes feed directly into India's AI regulatory consultations
›Participants contribute to policy, not just observe it
›A seat at the table as India's AI governance architecture is being built

Credibility & Cross-Sector Intelligence

›Deliberately curated: smaller, senior and substantive
›Being present signals your organisation takes responsible AI seriously
›Gain visibility across financial services, healthcare, law, public policy and civil society

Tracks

Conclave's Four Tracks

Each track is designed to move from problem to framework to action — with India-specific context at the centre.

AI Leadership: State & Enterprise

Explores how government and enterprise leaders are shaping the direction of AI adoption — balancing innovation, economic ambition, and public accountability. The discussion will examine leadership choices, institutional roles, and the alignment required between state priorities and enterprise execution.

AI Governance: Frameworks, Gaps, Automation & Future

Examines existing AI governance frameworks and their limitations in addressing real-world deployment. Focuses on closing critical gaps, operationalizing governance through automation, and preparing for a future where AI systems act with increasing autonomy.

Data Trust, DPDPA & AI Accountability: Infrastructure, Risk & Liability

Focuses on the foundations of trustworthy AI — data. Explores how data trust models, regulatory frameworks like DPDPA, and organizational accountability structures come together to manage risk, ensure compliance, and define liability in AI systems.

AI Regulation Perspectives: Academia, Society & Enterprise

Brings together perspectives from academia, civil society, and industry to understand how AI regulation is evolving. Examines how theoretical frameworks, societal expectations, and enterprise realities intersect in shaping practical and inclusive regulatory approaches.

Who Attends

150+ Voices Who
Shape Decisions

This is a 'technology-governance' conclave convening policymakers, regulators, technology stakeholders, enterprise leaders, researchers and infrastructure specialists in shaping how AI is deployed, governed, regulated and scaled across India. Every delegate either drives, influences or advises critical decisions around the future of AI systems and public trust.

CEOs & Founders Board Members Chief Risk Officers Independent Directors CLOs & Legal Counsel CDOs & CTOs CXOs & C-Suite Policy Researchers Impact Investors Think Tanks AI Startup Founders ESG Leaders Compliance Officers Public Policy Academia Promoters of Mid-sized Enterprises Senior Product Leaders Consultants & Advisors Students — Law, Eng, Business

“Institutions, leadership and societies must be enabled to responsibly govern AI and balance innovation before AI reshapes economies, governance and human systems at scale.”

— Conclave Founding Principle

Actionable frameworks — leave with board-ready AI governance templates and risk matrices.

Peer access — closed-room sessions with India's top 100 AI decision-makers.

Policy influence — conclave outcomes feed directly into India's AI regulatory consultation process.

Recognition — Inaugural AI Governance Leadership Awards presented at the conclave.

Disclaimer

The views, opinions and statements expressed by speakers, panelists and participants at the AI Trust & Governance Conclave are solely their own and do not necessarily reflect the official positions, policies or views of their respective organizations, employers, institutions, government bodies or affiliated entities.

Participation in the conclave does not constitute institutional endorsement unless explicitly stated.

Schedule

Conclave Agenda

A curated journey through AI governance, regulation, and responsible innovation

Morning Session

10:00 AM – 1:15 PM

10:00 AM — 10:05 AM

Welcome Address

Opening Note

10:05 AM — 10:20 AM

Keynote Address

Keynote

10:20 AM — 10:35 AM

Grounding AI Regulation

Expert Talk

10:35 AM — 11:15 AM

AI Leadership – State & Enterprise

Panel Discussion Open House

11:15 AM — 11:55 AM

AI Governance: Frameworks, Gaps, Automation & Future

Deep Dive Open House

11:55 AM — 12:35 PM

DPDPA, Data Trust & Accountability: Safety, Risk & Liability

Expert Panel Open House

12:35 PM — 1:15 PM

AI Regulation Perspectives: Academia, Society & Enterprise

Perspectives Open House

1:15 PM — 1:45 PM

AI Regulation / AI Tech Startups – Pitches & Showcases

Startup Showcase

1:45 PM – 2:15 PM

Lunch & Networking

Connect with fellow delegates, speakers, and industry leaders

Afternoon Session

2:15 PM – 3:15 PM

2:15 PM — 3:15 PM

Parallel Session

Leadership Round Table – By Invite Only

Roundtable 1 AI Regulation Operationalization & Future

Takeaways – Frameworks, Whitepapers

Roundtable 2 Data Trust, DPDPA for India AI Companies

Takeaways – Frameworks, Whitepapers

By Invite Only

Organized By

The Minds Behind the Conclave

Concept Owner & Curator

Parveen Goribidnur

Founder & CEO, United Regulation

Strategic Advisor, India DPDPA Forum

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Parveen Goribidnur is Founder & CEO of United Regulation and Strategic Advisor to the India DPDPA Forum. She is an AI governance and technology leader whose work sits at the intersection of regulation, artificial intelligence, data protection, digital policy and responsible innovation.

With over two decades of experience, she has led large-scale AI systems in speech recognition and enterprise technology across Microsoft, Oracle, EMC Corporation, Sapient and Servion Global Solutions. With experience across enterprise technology environments and governance-oriented initiatives, she brings a deep understanding of ethical AI, regulatory foresight and implementation-oriented governance frameworks.

Her work spans governance engagements in India and the EU, focusing on regulatory frameworks, operationalisation and scalable compliance. Her perspective is especially valuable to institutions navigating the overlap between innovation, public policy and accountability.

Her company, United Regulation, is currently building an integrated, lifecycle AI and data regulatory platform comprising products, tools and a continuous human stewardship layer covering DPDPA, GDPR, the EU AI Act, emerging AI Bills of Rights and global privacy and safety frameworks.

She holds a Bachelor of Technology in Computer Systems from the University of British Columbia. She is an Algorithms, AI & Civil Liberties Fellow (Top 8 from Asia) with the Friedrich Naumann Foundation and has trained in Public Policy at the National Law School of India University.

Beyond her work, she engages with literature, visual arts and Kathak. She holds a strong interest in design and architecture.

Event Execution Owner

Vinay Simha

Founder, Strategic Business Networks

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A globally recognized Enterprise Data Strategist who transforms complex data ecosystems into strategic business assets. Brings 25 years of proven expertise combining corporate leadership with global consulting experience across healthcare, manufacturing, automotive, agriculture, retail and more.

Earlier at Philips Healthcare, he led Enterprise Data Strategy, accelerating Global Digital Transformation through innovative Data Governance and Enterprise Architectures.

Recognized as one of the Top 100 AI Makers in 2025 by 3AI and among the Top 10 Voices in Data Management by Think Linkers Europe. Chairman of the Reuters Momentum AI Summit Singapore 2024 and the APAC Data2030 Summit.

Event Co-ordinators

Event Co-ordinator

Gaurav Agarwal

AI Governance, Privacy & Security Advisor

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Gaurav Agarwal works at the intersection of AI governance, data protection and cybersecurity, translating regulatory intent into operational systems.

With over two decades of engineering leadership across Siemens Healthineers, KPIT, Elektrobit and Sartorius Stedim India, he has built and governed large-scale systems in regulated and safety-critical environments. He brings a practitioner's perspective on how governance frameworks operate in real-world design and deployment.

He enables organisations to move beyond policy-led compliance toward continuous, system-driven governance, spanning the DPDP Act, GDPR, ISO 27001, ISO 27701 and emerging AI governance frameworks. His current focus is on operationalising AI governance and compliance automation by embedding accountability, traceability, and risk controls into engineering workflows.

Gaurav holds a B.E. in Electrical Engineering and a General Management certification from IIM Kozhikode. He has also completed certifications in Cybersecurity and Privacy, Digital Transformation and AI for Managers from IIT Madras and IIM Ahmedabad, and is an ISO 27001 Lead Auditor and ISO 27701 Lead Implementer.

Event Co-ordinator

Avinash Narasimha

Founder Neuralaxis.ai
Managing Partner at BridgePath Innovations

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A seasoned Data & AI leader with over two decades of experience driving enterprise-scale transformation across industries. Managing Partner at Bridgepath Innovations and Founder of NeuralAxis, focused on building and scaling AI-driven systems and next-generation SaaS platforms.

Works at the intersection of strategy and execution, helping enterprises move beyond AI pilots to production-grade solutions that deliver measurable business value. Expertise spans Data, Machine Learning, and Generative AI, with a strong focus on AI architecture, scalability, governance, and FINOPS.

Actively advises organizations on AI adoption, operating models, and value realization, enabling them to navigate the rapidly evolving AI landscape with clarity and execution discipline.

AI Trust & Governance Conclave

India's Defining
Governance Moment

Where India's AI Governance Moves from Dialogue to Decision

Conclave's Four Tracks