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.

Watch the Roundtable

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

Speakers

Key slides & perspectives