Balancing Innovation and Accountability

The landscape of financial crime is changing rapidly. Traditional fraud schemes have been joined by AI-enabled threats, from synthetic identities to deepfake impersonation. As faster payment rails become standard, fraudsters have seized on the opportunities for real-time exploitation, while regulators are imposing new obligations on institutions to reimburse consumers for authorized push payment (APP) fraud.

Simultaneously, the tools to combat fraud are advancing. Financial institutions are deploying advanced machine learning and graph-based anomaly detection, building layered defenses that integrate behavioral analytics, transaction monitoring, and AI-driven verification. However, these same tools raise questions of governance, explainability, and compliance with emerging AI frameworks such as the NIST AI Risk Management Framework and the EU AI Act.

This webcast will explore how financial institutions are balancing innovation with accountability in fraud risk management. Experts will discuss the latest attack vectors, the evolution of detection and prevention strategies, and the operational and regulatory challenges of deploying AI in mission-critical environments. Risk professionals will come away with a deeper appreciation of both the threats posed by fraud in an AI era and the practical approaches that leading firms are using to mitigate those risks.

Speakers

Hassan Firouzi, PhD, FRM, VP, Applied AI ML Lead, JPMorgan Chase

The rapid evolution of digital assets is reshaping global capital markets, with the tokenization of traditional instruments such as U.S. treasuries, money market funds, and real estate now in the mainstream. BlackRock’s BUIDL fund and a growing number of tokenized treasury offerings have already surpassed the billion-dollar mark, while central banks, through initiatives like the BIS-led Project Agorá, are piloting wholesale CBDC and tokenized deposits on programmable shared ledgers.

This webcast will bring together practitioners at the intersection of traditional finance (TradFi) and decentralized finance (DeFi) to examine the risk implications of tokenization for market participants, financial institutions, and regulators. Panelists will discuss liquidity, settlement, custody, operational risk, and governance considerations, alongside the impact of new regulations such as the EU’s Markets in Crypto-Assets (MiCA) framework and stablecoin rules.

Attendees will be able to gain a clear understanding of how tokenized markets are developing, how financial risk managers should evaluate exposures, and what frameworks are emerging to manage operational and compliance risk. Whether your institution is actively piloting digital asset products or monitoring developments from the sidelines, this session will provide essential insights into both the risk management challenges and opportunities of tokenization.

Speakers

Henry Jiang, FRM, Director, Strategic Initiatives, Bank of America Securities

Katie Richards MPhil, MSc, FRM, RAI, New Markets / Product Development (DeFi / TradFi) / Strategic Initiatives Lead, Incore Bank

Generative AI (GenAI) has captured the attention of financial institutions around the world. From enhancing research workflows and client engagement to transforming credit decisioning and operational processes, GenAI promises efficiency and new value creation. Yet questions remain about the true return on investment, the risks of hallucination and bias, and the adequacy of existing model risk management frameworks to govern such rapidly evolving technology.

Now, regulators are responding. The U.K.’s Prudential Regulation Authority has finalized SS1/23 on model risk management; the EU AI Act introduces obligations for high-risk and general-purpose AI systems; and ISO has released the 42001 AI management standard. Banks are mapping these requirements to existing frameworks like SR 11-7, while experimenting with technical methods such as retrieval-augmented generation (RAG) and ontology-guided approaches to reduce errors and enhance explainability.

This webcast will feature practitioners at the forefront of deploying GenAI in trading, credit, and operations. Panelists will share lessons learned from early pilots, discuss strategies for measuring ROI, and highlight emerging best practices in governance, validation, and monitoring. Risk managers and executives will leave with a clearer picture of where GenAI is delivering value, where it is falling short, and how firms can responsibly scale its use in regulated environments.

Speakers

Adrien Chenallier, FRM, Global Director for AI Industry Solutions – Financial Services, Cloudera

Arpit Narain, FRM, Global Head of Financial Solutions, MathWorks

Sameer Sharma, FRM, Senior Director, Data Science, Bank of America