Industry Conclave on AI Governance 2026
Theme: AI Measurement and Governance
Context
Artificial Intelligence (AI) systems are rapidly transitioning from research lab settings to real-world deployment settings across various sectors at a rapid pace. In this transition, they interact with existing technological workflows and unique socio-technical processes. This widespread adoption of AI across sectors is mirrored by a rapidly shifting regulatory and policy landscape. In this context, for governance to be effective, we need multi-dimensional measurement regimes across nuanced scenarios and domains that can capture aspects of governance. For example, how does one measure the fairness, safety, robustness, privacy, and security of AI systems across deployment contexts, whether in India, in healthcare, or in the more specialised context of Indian healthcare? Accordingly, this conclave seeks to advance dialogue on how AI governance can be grounded in highly tailored measurements for the ever-changing landscape of AI in the myriad contexts that it will engage with, further cementing that measurement and governance are intricately intertwined.
Event Components
Objectives
Measurement as Governance Core
Establish measurement as the operational cornerstone of effective AI governance frameworks, translating regulatory and ethical mandates into auditable, quantifiable criteria.
Knowledge Sharing and Dissemination
Disseminate research, evaluation methodologies, metrics, and tools, equipping participants to potentially operationalize governance within their own organizations.
Interdisciplinary Dialogue on Responsible AI
Foster structured, cross-sector dialogue on standards and frameworks for Responsible AI aspects such as fairness, explainability, privacy, security, and responsible deployment, addressing questions of measurement scope, standard-setting authority, and the trade-off between rapid innovation and governance rigour.
Convene and Collaborate
Bring together researchers, enterprises, startups, framework developers, and policymakers to identify shared measurement standards and catalyse new collaborations across the measurement-and-governance value chain.
AI Startup Showcase
Provide a dedicated platform for emerging startups building AI governance, measurement, evaluation, and legal and regulatory compliance solutions to engage with tech researchers and policy experts.
Tentative Agenda
Registration
Opening Remarks
Keynote Talk
Gopal Ramchurn
Professor, University of Southampton, CEO of RAi UK
Keynote Talk
Mohan Kankanahalli
Provost's Chair Professor of Computer Science,
Director of NUS AI Institute, National University of Singapore
CeRAI Highlights
Lightning Talks
Coffee/Tea Break
Fireside Chat on AI Measurements and Governance
Balaraman Ravindran, Professor & Head, CeRAI, WSAI, IIT Madras
Rahul Matthan, Partner, Trilegal
Panel Discussion on Consumer Rights
Saranya Gopinath, Head of Policy, Razorpay
Shouvik Guha, Associate Professor of Law, National University of Juridical Sciences
Saksham Malik, Government Affairs and Public Policy Manager, Google India
Moderator: Vibhav Mittal, Associate Partner, Anand and Anand; ARF at CeRAI
Closing Ceremony
Vote of Thanks: R Sridhar, COO, WSAI, IIT Madras
Lunch Break
Workshop - Lecture and Hands-on Sessions
3 workshops running in parallel by CeRAI PIs and Leads
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