Speakers
Dr. Amar Patnaik
Lawyer, Former Member of Parliament & Former Principle Accountant General
Founder and Managing Partner, A&N Legal Solutions LLP, New Delhi
Dr. Amar Patnaik is a lawyer by profession and the Founder of A&N Legal Solutions LLP, a law firm based in New Delhi and Bhubaneshwar. A former Member of Parliament in the Rajya Sabha (2019-2024), Dr. Patnaik represented Odisha, where he addressed key economic issues such as debt financing, supply-side inflation, and ESG frameworks. He served on key parliamentary committees, including Finance and PSUs. He was awarded the Sansad Ratna award in 2022 for his impactful parliamentary performance.
Dr. Patnaik has 28 years of experience in the Indian Civil Services as an IA & AS officer under the Comptroller and Auditor General of India (CAG), leading external audit missions for the UN in New York, Sudan, Uganda, and Italy. His audits included IT systems for the UN and FAO, and national entities like Indian Railways. He is a recognized thought leader, frequently invited as a keynote speaker by organizations like ASSOCHAM and FICCI, and has participated in key global discussions such as the Global Fintech Summit by NPCI (2022-2023).
As a member of the Joint Parliamentary Committee on the Personal Data Protection Bill, Dr. Patnaik made significant contributions to shaping India's digital privacy laws. He is a strong advocate for evidence-based reforms that promote growth through subsidy rationalization, enhanced MSME credit access, and balanced regulations for emerging sectors like AI, online gaming, and the metaverse.
Dr. Patnaik holds a Ph.D. in Institutional Studies from XIMB, an MBA in Finance and Systems, a Master’s in Public Management from the Lee Kuan Yew School of Public Policy and Harvard’s Kennedy School, and an Advanced Management Certificate from the Wharton School. A Chevening Gurukul Scholar at the London School of Economics, he is also a Certified Fraud Examiner and Certified Internal Auditor, with expertise in risk management and assurance. Currently, he practices as an advocate, advising clients and government officials on legal implications in India.
Speaking At
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3:15–4:45pmTue 17 NovPublic-Private RoundtableRoundtable Room 3Open
Accountability & Liability In Agentic Systems
Towards Greater AI Governance Alignment: State of Play and Opportunities
Public-Private RoundtableRoundtable Room 3Open
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Dr. Amar PatnaikLawyer, Former Member of Parliament & Former Principle Accountant GeneralFounder and Managing Partner, A&N Legal Solutions LLP, New Delhi
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Daranee SaejuDeputy Governor, Payment Systems Stability & Financial Services SupervisionBank of Thailand
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Daniel WuExecutive Director, AI & Data Policy, Asia PacificJPMorganChase
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Rodrigo Garcia de la CruzChairmanGlobal Fintech Alliance
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Aayush SuranaAssociate Director, AI Growth & ResearchGlobal Finance & Technology NetworkModerator
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Prof. Chia Tek YewAdjunct Professor/AdvisorNUS - Asian Institute of Digital FinanceModerator
About this session
Globally, regulators are each moving ahead with their own AI governance tracks, ranging from voluntary frameworks to draft legislation and sector-specific rules. This growing regulatory fragmentation, if not managed well, could raise the compliance burden for regional fintechs and banks, and ultimately undermine broader goals of achieving integrated digital markets, with multinational financial institutions having to account for different risk-classification, testing, and disclosure regimes in their AI use-cases.
Using Southeast Asia as a case, this roundtable takes stock of how ASEAN member states regulate and supervise AI in financial services, and where closer alignment is within reach. Participants, including ASEAN central banks, banking associations, and regional financial institutions, will discuss the most pressing near-term opportunities to leverage and challenges to address.
Roundtable outputs will feed into efforts to build a long-term implementation roadmap to facilitate greater alignment across AI governance in ASEAN, with lessons relevant to any region working to bring AI rules closer together.
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