Bo An
Professor
Nanyang Technological University
Biography
Bo An is a President’s Chair Professor in Computer Science, Head of Division of Artificial Intelligence, and Co-Director of Artificial Intelligence Research Institute (AI.R) at Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst. His current research interests include artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, 2018 Nanyang Research Award (Young Investigator), and 2022 Nanyang Research Award. His publications won the Best Innovative Application Paper Award at AAMAS’12, the Innovative Application Award at IAAI’16, and the best paper award at DAI’20. He was invited to give Early Career Spotlight talk at IJCAI’17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He was PC Co-Chair of AAMAS’20 and General Co-Chair of AAMAS’23. He will be PC Chair of IJCAI’27. He is a member of the editorial board of JAIR and is the Associate Editor of AIJ, JAAMAS, IEEE Intelligent Systems, ACM TAAS, and ACM TIST. He was elected to the board of directors of IFAAMAS, senior member of AAAI, and Distinguished member of ACM.
About the company
A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 35,000 undergraduate and postgraduate students in the Business, Computing & Data Science, Engineering, Humanities, Arts, & Social Sciences, Medicine, Science, and Graduate colleges.
Presentation
Deep Reinforcement Learning for Quantitative Trading
In the last decade, we have witnessed a significant development of AI-powered quantitative trading (QT), due to its instant and accurate order execution, and capability of analyzing and processing large amount of data related to the financial market. Traditional AI-powered QT methods discover trading opportunities based on either heuristic rules or financial prediction. However, due to the high volatility and noisy nature of financial market, their performance is not stable and highly reply on the market condition. Recently, reinforcement learning (RL) becomes an appealing approach for QT tasks owing to its stellar performance on solving complex decision-making problems. This talk will discuss some recent research progress in RL for QT and future directions.
Raphael Auer
Head of the BIS Innovation Hub Eurosystem Centre
Bank for International Settlements
Biography
Raphael Auer is head of the BIS Innovation Hub Eurosystem Centre, which is located in Frankfurt and Paris. Before taking up his current assignment, he was Principal Economist in the BIS's Innovation and Digital Economy and Monetary Policy units. Before that, he was Deputy Head of the International Trade and Capital Flows unit at the Swiss National Bank, a Globalization and Governance Fellow at Princeton School of Public and International Affairs and a junior visiting fellow at the Federal Reserve Bank of New York. Raphael holds a PhD in economics from MIT and is president of the Central Bank Research Association. He has published on topics relating to international macroeconomics, exchange rate pass-through, and digital currencies.
About the company
The Bank for International Settlements' mission is to support central banks' pursuit of monetary and financial stability through international cooperation, and to act as a bank for central banks.
Presentation
Keynote Address: Artificial intelligence and the future of central banking
How will AI reshape the global financial system and central banking? What roles does the BIS play in supporting central banks through this journey? As AI adoption accelerates, proactive steps are essential to navigate the transformative impact on finance. This presentation outlines the BIS's strategic actions and collaborative work with central banks, including two impactful projects from the Innovation Hub: Project Gaia , which automates climate data extraction from corporate reports for more efficient climate risk analysis, and Project Spectrum, which leverages AI to organize retail data for more accurate inflation forecasting.
Rahul Bhargava
Founder and Director
Avivate
Biography
Rahul is a seasoned global financial services executive withs 21+ years of leadership experience with international organisations like The World Bank and Swift, global banks, fintechs, consulting firms and industry think-tanks in payments and responsible AI. He has led many multi-market initiatives involving extensive public-private coordination including cross-border instant payments at Swift. He is a recognised payments expert, speaker and thought leader at regulatory and industry forums like Sibos, GPS, WB-GPW, CBPC, Money 2020, GFF, Stablecoin Summit and SFF
About the company
Avivate is a Management Consulting firm based in Singapore supporting international agencies, central banks, banks and paytechs with responding to emerging payments, banking transformation and emerging technology like AI. This is via multiple services including knowledge sharing, training, strategic advisory, capability roadmap development, go to market strategy and execution, and more.
Presentation
Data and AI: Transforming the Future of Payments?
Payments ecosystems are innovating at scale, moving towards a more instant and frictionless future - there is fragmentation with many forms of money and settlement mechanisms, yet a retained focus on harmonisation and interoperability, driving adoption of global standards like ISO 20022 in the world of payments. This is leading to more structured, richer data sets dupporting scalable innovation and more robust compliance controls. How does this richer data match up to developments in AI. Gen AI is maturing as per Gartner Hype Cycle but Composite AI represents the next phase in AI evolution. Pragmatic use cases for AI in payments are solving fundamental problems like real-time fraud/AML monitoring and there is an exciting future ahead, but we must proceed responsibly!
Michael Borelli
Chief Operating Officer
AI & Partners, B.V.
Biography
Michael Charles Borrelli is a highly experienced financial services professional with over 10 years of experience. He has held executive positions in compliance, regulation, management consulting and operations for institutional financial services firms, consulted for FCA-regulated firms on strategic planning, regulatory compliance and operational efficiency.
About the company
AI & Partners is a leading professional services firm specializing in assisting companies subject to the EU AI Act. Our expertise lies in providing comprehensive advisory and consultancy services tailored to ensure compliance with regulatory requirements.
Presentation
Navigating the Future: AI's Role in Central Banking and Financial Regulation
As central banks and financial regulators grapple with the rapid advancement of Artificial Intelligence (AI), understanding its potential and pitfalls becomes crucial. This presentation will explore how AI can revolutionize central banking, from enhancing operational efficiency to improving financial monitoring and risk management. We will delve into the opportunities AI presents for predictive analytics, fraud detection, and customer service innovation. However, the risks associated with AI, including ethical considerations, data privacy, and systemic vulnerabilities, will also be examined. Drawing on case studies, we will discuss the necessary measures central banks must adopt to harness AI's benefits while mitigating its risks, ensuring they fulfill their regulatory and supervisory duties.
Jean-Charles Bricongne
Advisor to the Governors
Banque de France
Biography
Jean-Charles Bricongne is currently Advisor to the Governors of Banque de France on artificial intelligence issues. He has been previously Deputy-Director in the Business Surveys and Microeconomic and Structural Analyses Department, and in the International Economics and Cooperation Department in Banque de France. He graduated from the Ecole Centrale Paris, from Sciences Po Paris and holds a PhD from the University of Paris I Panthéon-Sorbonne about the links between financial and real economy. He previously worked as a seconded national expert on internal imbalances in the European Commission (DG ECFIN), especially on credit and housing. He was before counsellor of the General Director of Economics and Research, Head of a unit in charge of trade and competitiveness in Banque de France, and seconded expert on monetary and financial issues in the French statistical institute (INSEE). He has been a Senior Lecturer at Sciences Po Paris, and is currently Adjunct Professor in Paris I Panthéon-Sorbonne University. He is also an associate researcher in LEO (Laboratoire d'Economie d'Orléans). He has written on various topics in applied international economics, housing, migrations, and the use of datascience technics applied to economics. He has published in numerous journals, including in the Journal of International Economics, World Economy, the Scandinavian Journal of Economics and the Journal of Housing Economics.
About the company
Banque de France is the central bank of France.
Presentation
Use of AI in a Central Bank: The Case of Banque de France
This presentation will shed light on following subject matters:
1. Banque de France innovative approach to experience AI
2. Banque de France strategy
3. Banque de France flexible and project base organisation
4. Some case studies:
a) The « augmented supervisor »
b) Analysis of the impact of monetary surprises on exchange rates using AI
c) Tracking of economic activity with satellite data
5. Cherry on the cake : Project for an « Economic Datascience Society »
Menno Broos
Project lead
De Nederlandsche Bank
Biography
Menno Broos is the project lead for the digital euro at the Nederlandsche Bank, the Dutch central bank. In this capacity, he participates in the project steering group (PSG) of the digital euro project together with other counterparts from the Eurosystem.
About the company
De Nederlandsche Bank is the central bank of the Netherlands and its prudential banking supervisor, working closely together with other institutions in the Eurosystem and the SSM.
Presentation
2024: an AI odyssey
As AI is being integrated in the financial sector, we highlight its potential and current limitations. AI is mainly used in peripheral activities like customer service, with limited application in core financial processes due to regulatory concerns. The Dutch Central Bank (DNB) supervises AI usage, ensuring compliance with the European AI Act, which includes fundamental rights like privacy and non-discrimination. DNB encourages financial institutions to experiment with AI while maintaining transparency and regulatory compliance. We emphasize the importance of collaborationetween financial institutions and AI experts to fully realize ist potential.
Oriol Caudevilla
Board Director
Global Impact FinTech Forum
Biography
Dr. Oriol Caudevilla, LLB, MBA, PhD, founded and hosts the podcast “A Digital Tomorrow”. He currently acts as a Board Director and Secretary General at the Global Impact FinTech (GIFT) Forum, Research Contributor at the Blockchain Research Institute(BRI), Senior Fellow at AI2030 , and Startup Mentor Mentor at Cyberport (Hong Kong), Startup Mentor at Tenity/F10 Incubator & Accelerator (Singapore), as well as Mentor at the Hong Kong Science and Technology Park (HKSTP).
About the company
Presentation
Regulatory requirements for AI in the banking industry
Regulators require financial institutions to implement robust governance frameworks that ensure an ethical and safe use of AI. In my presentation, I will cover briefly how financial institutions should address AI risks and how AI needs to be regulated, introducing developments on AI regulation at the international as well as financial sector levels, covering GDPR, PSD2, the EU´s AI Act... among others.
Chris Cox
Industry AI Advisor, Former CIO Bank for International Settlements
Biography
Presentation
The adoption of AI technologies, particularly generative AI, has continued to gather pace throughout 2024. This year has been one of learning for most organisations, as they experiment with AI, understand its capabilities and limitations, and address the challenges of reliable and responsible deployment. During this period, the technologies themselves have not remained static, with new capabilities continuously unveiled that push the boundaries of what is possible. So, what does the future hold? This presentation will bring attendees up to date with technological developments in AI, consider what we should expect over the coming year, and examine the implications for central banks and the financial sector more broadly.
Andreas Fredrich
Founder
Digitalpayments Consulting
Biography
Andreas Fredrich is a seasoned expert in payment technology, generative AI, and identity management. With leadership roles across global projects and industries, he specializes in product strategy, integration, and innovative AI solutions, supporting multinational teams and high-profile clients to optimize digital payment processes and IT infrastructure.
About the company
DigitalPayments Consulting specializes in integrating digital payment solutions with generative AI innovations to simplify processes and enhance customer experiences.
Presentation
Artificial Intelligence and Central Banking
The rapid evolution of Artificial Intelligence (AI), especially generative AI, holds transformative potential for central banking. Central banks are closely monitoring AI's macroeconomic impacts, such as its effects on inflation, economic growth, and labor dynamics, which are critical to monetary policy. Additionally, AI is poised to influence financial stability by enhancing risk assessment but also introduces risks like operational vulnerabilities. Central banks are already leveraging AI in data analysis, economic modeling, and payment systems, while focusing on ethical concerns like transparency and data privacy. This presentation explores AI's benefits and risks, highlighting the importance of responsible adoption and collaboration.
Maryam Haghighi
Director
Bank of Canada
Biography
A strategic and collaborative leader, Maryam Haghighi is a Director at the Bank of Canada. She has successfully mobilized teams to accelerate digital transformations, leading initiatives on data, AI and advanced computing technologies in complex environments. She is a recognized expert and the recipient of Alumni of the Year Award from the University of Ottawa’s Faculty of Science, the Governor’s Award of Excellence, and the Gil Bennet Award in Governance. She holds a Ph.D. in Mathematics and is a Chartered Director.
About the company
Bank of Canada is the central bank of Canada.
Presentation
How to enable AI adoption by central banks?
This presentation will discuss the skills, technology and processes required for a successful adoption of AI by central banks.
John Ho
Head, Legal, Financial Markets
Standard Chartered Bank
Biography
John Ho is the Global Head of Legal, Financial Markets for Standard Chartered Bank (“SCB”), overseeing and providing legal advisory, transactional and documentation support for Financial Markets (FM) business globally for Standard Chartered Bank (SCB), its branches and affiliates. Mr. Ho is also the co-chair of (1) the ISDA South East Asia Legal and Regulatory Committee and (2) the ISDA Asia Pacific ESG Working group.He is an active participant in the industry’s Fintech events and is a public speaker on topics such as Central Bank Digital Currencies, Blockchain, Digital Assets, Financial Markets, Sustainability and Regulatory Reforms. He serves as a mentor to startups and co-authored a publication from the World Economic Forum called The Digital Currency Governance Consortium Whitepaper, published in November 2021. He is a also mentor for the UK FCA Sustainability TechSprint, FCA Digital Sandbox, R3 and LongHash.Prior to joining SCB, Mr. Ho was the Managing Director Principal in the legal department of Bear Stearns (Japan), Ltd (“Bear Stearns”) where he supported the Asia franchise (including Tokyo, Hong Kong, China, Taiwan, Korea, India and South-east Asia) from January 2003 to August 2008 covering various structured products and derivatives including equity derivatives, credit derivatives, fixed income and commodities. Prior to joining Bear Stearns, Mr. Ho worked as Asia equity counsel for Lehman Brothers in Tokyo with experience dealing in convertibles, options, warrants, delta one products and other types of equity derivatives transactions, equity finance and equity capital markets. He is qualified as an advocate and solicitor in Singapore since 1995 and he received his law degree from the National University of Singapore.
About the company
With 85,000 employees and a presence in 59 markets, Standard Chartered Bank's network serves customers in close to 150 markets worldwide. Standard Chartere Bank is listed on the London and Hong Kong Stock Exchanges
Presentation
Navigating AI Risks in Finance: Challenges and Mitigation Strategies
This presentation explores the growing influence of artificial intelligence (AI) in the financial sector, focusing on the risks and challenges it introduces, such as bias, regulatory compliance, cybersecurity threats, and transparency issues. It highlights the need for robust governance frameworks, ethical AI deployment, and collaboration between regulators and industry stakeholders. Attendees will also gain insights into regulatory or supervisory approaches in key jurisdictions to ensure AI adoption promotes innovation while safeguarding financial stability.
Beata Horvath
Senior Economic Analyst
Central Bank of Hungary
Biography
Beata is a senior economic analyst at Central Bank of Hungary. She has a degree in applied mathematics. She worked for almost 20 years as methodological adviser of the Hungarian Central Statistical Office and than in2024 joined the team of Digitalisation Technology Department at the Central Bank of Hungary. She has many experiencies on data analysis, econometric and time series modeling.
About the company
The Central Bank of Hungary
Presentation
Processing and modeling Online Cash Register data using machine learning methods
Online cash registers (OCR) have become a widespread tool in retail since their gradual introduction in 2013 in Hungary. The analysis and modeling of the data derived from them can play a crucial role in supporting important national economic decisions. The presentation explores the main processing and modeling steps that we performed in case of product name categorization, time series analysis and time series modeling with statistical and deep learning methods.
Dr. Ritesh Jain
Founder
Infynit
Biography
Dr. Ritesh Jain, a top 10 Global Fintech Leader, founder, tech enthusiast, and seasoned board advisor, has over two decades of experience in global Digital Technology, Business Transformation, and Operations. As a regular speaker at global conferences on Fintechs, Emerging Tech, Banks, and Payments, he has made a lasting impact on the industry. Formerly the COO and Global Head of Digital Tech at HSBC, he led the future of Payments at VISA and introduced Apple Pay. At Maersk, he spearheaded technology and innovation, establishing Digital Centers of Excellence and robust high-availability platforms. His contributions earned him a PhD in Payments Innovation, Open Banking, and Financial Inclusion. Dr. Jain is a founding member of the World Metaverse Council, Blockchain Associations, IBM/Informa’s AI Community, and a visiting faculty member at leading business schools. He also serves as a member advisor of the G20 GPFI and offers guidance to major payment programs and banks worldwide while advising banks and central banks on emerging tech and the future of banking and payments.
About the company
ISO/IEC JTC 1/SC 42 ScopeSC 42 develops international standards for artificial intelligence.SC 42’s unique holistic approach considers the entire AI ecosystem, by looking at technology capability and non-technical requirements, such as business, regulatory and policy requirements, application domain needs, and ethical and societal concerns.Standardization in the area of Artificial Intelligence.
Presentation
As central banks worldwide grapple with unprecedented challenges in economic stability and policy effectiveness, artificial intelligence has emerged as a critical tool to forecast trends, adapt to real-time market changes, and enhance policy precision. But alongside its potential, AI introduces significant ethical and governance complexities that must be addressed to ensure transparency, fairness, and accountability in the financial system. This keynote explores how AI can elevate the role of central banks, enabling them to act more swiftly and accurately while upholding the highest standards of ethical responsibility. Attendees will gain insights into practical frameworks for responsible AI deployment in central banking and explore real-world examples of how institutions are navigating this complex yet promising frontier. The session will leave industry leaders with actionable strategies to harness AI’s potential in policy-making without compromising public trust.
Kombe Kaponda
Financial Markets Infrastructure Specialist
Bank of Zambia
Biography
Dr. Eng. Kombe Kaponda is a leading SADC regional financial technologies architect professional, financial inclusion advocate, thought leader, Public speaker, and Published author with over 20 years of experience in the industry. He is a self-driven FMI specialist, currently leading the Digital transformation initiatives and adoption of Emerging technologies such as AI, ML, Blockchain, DLT in the Central Bank. He is the current chairperson of the Zambian Financial Sector interagency technology working group comprised of the Central Bank of Zambia (BoZ), the technology regulator, Pensions and Insurance Authority (PIA) and the Securities Exchange Commission (SEC) responsible for developing Fintech frameworks, guidelines, capacity building in the industry and regulations, a harmonized regulatory sandbox and the evaluation of all other financial technology proposals for the Zambia Fintech, Regtech, Suptech and Insutech industry. Dr. Kombe Kaponda is an active contributor to SADC and the global fintech and digital innovations agenda, participating in the IMF-World Bank Technology Community of Practice (CoP), a CBDC technology CoP which is a private and informal community focusing on payments efficiency, R&D and research about CBDC technology for mutual global learning. He has also served on the ITU Architecture Interoperability Committee, Taxonomy on CBDC, and Digital Currency Ecosystem Global Initiative Working Group.
Dr. Kombe Kaponda is a certified Digital Finance practitioner (CDFP), by DFI and Tufts University, holds a Doctor of Business Administration (DBA), with a research thesis, focused on the feasibility and possible use cases, interoperability of FMI on CBDC implementation, Master’s Degree in ICT Regulation, Policy and Management (MEng.), certifications from the University of Cambridge, Judge Business School, Executive Education on Cambridge FinTech & Regulatory Innovation Programme, Data Science, machine learning and R programming from HarvardX University, FinTech Professional certification from the University of Hong Kong and a Bachelor of Science in Computer Science (BSc.).
He is a thought leader, published author and a public speaker on financial technologies developments in SSA and has facilitated several Digital Financial Services (DFS), Artificial intelligence (AI) in Finance, Cybersecurity training workshops and seminars around the world.
About the company
Central Bank of Zambia.
Presentation
The promise of Artificial Intelligence in Finance: Case for developing Economies
Artificial intelligence (AI) has the potential to revolutionize the financial industry, especially in developing economies. AI-powered financial services can help to improve financial inclusion, reduce costs, and increase efficiency. AI can also help to reduce the costs of financial services through AI-powered chatbots can automate customer service tasks, and AI-powered fraud detection systems can help to reduce fraud losses. Developing economies like Zambia is well-positioned to benefit from the promise of AI in finance because of the increasing populations of underserved individuals and businesses, and they are also often early adopters of new technologies
Xiang-li Lim
Financial Sector Expert
International Monetary Fund
Biography
Xiang-li Lim is a Financial Sector Expert at the IMF's Global Markets Analysis Division, which focuses on high-frequency market surveillance. The division is also responsible for analyzing conjunctural developments for the global financial stability report. Formerly, he was with the Central Bank of Malaysia’s Investment Operations and Financial Market Department.
About the company
The IMF is a global organization that works to achieve sustainable growth and prosperity for all of its 191 member countries. It does so by supporting economic policies that promote financial stability and monetary cooperation, which are essential to increase productivity, job creation, and economic well-being. The IMF is governed by and accountable to its member countries.
Presentation
Advances in Artificial Intelligence: Implications for Capital Market Activities
Chapter 3 of the IMF’s October 2024 Global Financial Stability Report assesses recent developments in AI and Generative AI and their implications for capital markets. AI may reduce some financial stability risks by enabling superior risk management, deepening market liquidity, and improving market monitoring by both participants and regulators. New risks may arise, including increased market speed and volatility under stress, more opacity and monitoring challenges of non-bank financial institutions, increased operational risks, and increased cyber and market manipulation risks. Additional policy responses should be considered for relevant authorities to be prepared for these potentially transformative changes.
Tomer Mizrahi
CTO
Bank of Israel
Biography
Tomer Mizrahi has been the CTO of the Bank of Israel for approximately 8 years. He is the technical manager of the CBDC project and the Digital Cheque project, where the Bank of Israel aim to expand the open banking standard to create a new and advanced payment method. Additionally, he is responsible for the bank's strategy, including the identification, evaluation, and implementation of disruptive technologies, with AI being one of them. He also serves as the Chair of the Cyber security Working Group at the BIS Innovation Network.
About the company
The Bank of Israel is the central bank of Israel, established in 1954. Its primary objectives are to maintain price stability, support economic growth, and ensure the stability of the financial system. The bank is responsible for formulating and implementing monetary policy, managing foreign exchange reserves, and supervising and regulating the banking system. Additionally, the Bank of Israel issues the national currency, the Israeli new shekel (ILS), and oversees the financial market infrastructure. The current governor is Amir Yaron
Presentation
Panel Discussion - Progress in the Adoption of AI in Central Banks
This s panel will explore progress in the adoption of AI within central banks, focusing on how these technologies are reshaping key functions such as research and supervision and enhancing staff productivity. Experts will share their experiences in piloting AI for real-world applications and the challenges of bringing these applications into production use. Additionally, the conversation will examine how central banks are integrating AI into their internal operational risk, governance and compliance frameworks, and how Responsible AI can be achieved in practice.
Rakiya Mohammed
CEO
Digibit Solutions Ltd
Biography
Rakiya previously served as Director of IT at the Central Bank of Nigeria She holds a First-Class (Hon) Degree in Computer Science, a Master's in Information Systems Engineering, and is a Fellow of the Institute of Chartered Accountants of Nigeria. She is also an alumna of Harvard and Oxford universities.
About the company
Digibit Solutions is a leading ICT consulting firm established to bridge the skills gap in cybersecurity, blockchain, and data analytics. Through consultancy, outsourcing, and training, Digibit addresses critical technology needs. Founded in 2024 and headquartered in Nigeria, it plans global expansion, with outsourcing hubs across Nigeria.
Presentation
Presentation title will be announced shortly
Drew Propson
Head, Technology and Innovation in Financial Services
World Economic Forum
Biography
Drew Propson is the Head of Technology and Innovation in Financial Services at the World Economic Forum. She leads a portfolio of initiatives focused on advancing innovation while maintaining financial system stability. Current research areas include the deployment of AI and emerging technologies in financial services, technology-driven systemic risks, and fintech market trends. Drew has additionally presented and authored work on financial inclusion, regulatory dynamics, and entrepreneurship. Drew holds MBAs from Columbia Business School and London Business School, a PhD in Spanish literature from UC Berkeley, and a BFA in Painting from the University of Washington. Her experience prior to joining the Forum includes private equity research, development finance, and international strategy and operations.
About the company
The World Economic Forum is the international organization for public-private cooperation and is committed to improving the state of the world. It provides a global, impartial and not-for-profit platform for meaningful connection between stakeholders to establish trust, and build initiatives for cooperation and progress.
Presentation
Adapting to the AI-Accelerated Future
The pace of change in AI and emerging technologies offers tremendous opportunities, however is also becoming overwhelming. This presentation explores evolving developments and deployments of tech in financial services, and examines where public and private sector actors will need to focus their attention to effectively respond to the rapidly changing environment.
Kate Shcheglova-Goldfinch
Regulatory Consultant & Research affiliate
Cambridge Centre for Finance, Technology & Regulation
Biography
I am a regulatory innovations specialist and consultant with five years’ experience as Senior Project Manager at the EBRD. My expertise spans fintech strategy, digital technologies, and the development of regulatory platforms for public authorities, including central banks. I have overseen capacity building, business development, and multi-stakeholder engagement across various regions. My focus is on designing and implementing innovative regulatory and legal frameworks, such as regulatory sandboxes, and fostering a culture of innovation within traditional financial institutions. Currently, as an external advisor I am leading the development of AI competencies at the National Bank of Ukraine, where I am helping to embed an AI-driven culture. Alongside this, I serve as a tutor at the Cambridge Centre for Alternative Finance, supporting regulators in their journey to understand emerging technologies. As a delegate selected for UN Women UK (CSW68) 2024, I am also advocating for a more diverse and equitable AI landscape. I hold an MSc in Digital Communications from London Metropolitan University, a certificate in Fintech from Cambridge Judge Business School, certificates in Leadership and AI from Oxford Saïd Business School, a certificate in Generative AI for Decision Makers from AWS, certificate on EU AI Act expertise from AI & Partners and certificates in Global Internet Governance and Data Privacy from Carnegie Mellon University.
About the company
The Cambridge Centre for Alternative Finance (CCAF) at Cambridge Judge Business School was established in January 2015 to conduct cutting-edge, interdisciplinary, rigorous and independent research on the development of alternative financing instruments, channels and systems, as well as related socio-economic, regulatory and policy implications.
Our team of researchers, experts, technologists and educators share the CCAF’s mission to accelerate the creation and transfer of knowledge that pushes the boundaries of research, catalyses the sustainable development of financial innovation and informs evidence-based regulation.
Presentation
Presentation title will be published soon
Marie-Christine Tremblay
Senior Policy Advisor
Bank of Canada
Biography
A Senior Advisor in the Bank of Canada’s International Department developing analysis on emerging global areas, including AI, and chairing a G7 working group on digitalization. She was a Director in the Bank’s Financial Stability Department leading climate financial risk assessments. She has executive-level experience in working on several global economic and financial issues, including as an OECD Head of Division. She is serving as a guest editor for the journal of Energy Economics. She holds a PhD in Economics from Laval University.
About the company
Bank of Canada is the central bank of Canada.
Presentation
Panel Discussion: Progress in the Adoption of AI in Central Banks
This panel will explore progress in the adoption of AI within central banks, focusing on how these technologies are reshaping key functions such as research and supervision and enhancing staff productivity. Experts will share their experiences in piloting AI for real-world applications and the challenges of bringing these applications into production use. Additionally, the conversation will examine how central banks are integrating AI into their internal operational risk, governance and compliance frameworks, and how Responsible AI can be achieved in practice.
Xiaochen Zhang
CEO
FinTech4Good
Biography
Xiaochen is the Executive Director & Chief AI Officer of AI 2030, where he drives initiatives to harness AI's transformative power for the benefit of humanity while mitigating its potential risks. As CEO of FinTech4Good, he leads a global network that collaborates with startups, corporates, and investors to create, scale, and invest in sustainable and inclusive ventures.
Over the past 20 years, Xiaochen has excelled as a technology leader, go-to-market strategist, and impact investor. He has successfully launched new offerings, entered global markets, and built impactful collaborations with leading organizations like the United Nations, World Bank Group and other impact organizations. His work has empowered public and private sectors to build data-driven, technology-enabled, and human-centered economies that are just, inclusive, and sustainable for the future.
About the company
FinTech4Good is a venture building firm to empower financial services through emerging technologies. AI 2030 is an initiative aimed at harnessing the transformative power of AI to benefit humanity while minimizing its potential negative impact.
Presentation
Panel Discussion: Progress in the Adoption of AI in Central Banks
This panel will explore progress in the adoption of AI within central banks, focusing on how these technologies are reshaping key functions such as research and supervision and enhancing staff productivity. Experts will share their experiences in piloting AI for real-world applications and the challenges of bringing these applications into production use. Additionally, the conversation will examine how central banks are integrating AI into their internal operational risk, governance and compliance frameworks, and how Responsible AI can be achieved in practice.