Evident - Evident Responsible AI Roundtable

How are banks adapting governance structures to ensure responsible AI deployment?

TUESDAY 11TH MARCH 15.00-16.00 GMT | 11.00-12.00 EDT

VIRTUAL ROUNDTABLE

Event Speakers

Raquel Ettrick Thompson

Global Head of AI Governance & Control, BNY

Raquel oversees AI/ML governance, risk management, and compliance across the enterprise at BNY Mellon. She leads efforts to ensure the trustworthiness and regulatory alignment of AI-driven solutions while managing controls for Enterprise Payments functions.

Dr. Paul Dongha

Head of Responsible AI & AI Strategy, NatWest

Paul leads the development and implementation of ethical AI practices and strategies across the Group. Paul's work ensures AI technologies are designed and used in line with regulatory standards and ethical guidelines, mitigating risks related to bias, transparency, and accountability.

Alexandra Mousavizadeh

Co-CEO and Co-founder, Evident

Alexandra has spent 25 years ranking and quantifying complex societal and political forces, and for the last 6 years she has focused on AI. She started her career at Moody’s, then Morgan Stanley, and later became CEO of ARC Ratings and Director of the Prosperity Index. Most recently, Alexandra was Director of Tortoise Intelligence, publisher of The Global AI Index.

Colin Gilbert

VP of Intelligence, Evident

Colin leads Evident's Intelligence Team. focused on developing new content offerings and expanding our customer-facing diagnostics. Colin has spent the last 15 years working in Research & Advisory services, specializing in using quantitative benchmarking to measure an organization's digital aptitude vs. performance. Previously, he served as a Managing Vice President at L2 Inc. (acquired by Gartner in 2017), where he worked on the Digital IQ Index® as it expanded to cover nearly 1,500 leading brands across 15x B2C industries.

Watch the Roundtable

Summary

Scaling Generative AI use cases across banking comes with the underlying challenge to address the complexity and “black-box” nature of models, whilst maintaining the robust oversight and controls standards set over years of dealing with technology risk.

To prevent risk management and governance becoming a blocker to innovation, leading banks are proactively adapting their People, Policies and Process to ensure they deploy AI models and systems responsibly.

Our recent RAI Roundtable offered a unique opportunity to learn about the practical measures taken by subject matter experts from some of the world’s leading banks to ensure RAI supports, not stifles, innovation.

This event focused on the updated 2024 Evident AI RAI Report.

Key Discussion Topics

The role of the RAI leader: why they’re needed and what they do
Execution of RAI principles and mapping them to discrete controls
How to “future proof” controls, especially in tandem with dedicated research into AI explainability (XAI)
Key processes to help overcome the bottleneck challenge of validating AI models and scaling Generative AI use cases

Key Slides