The Multi-Territory Compliance Challenge of AI Implementation

Article

As generative AI transforms financial services, institutions face complex challenges in compliance, risk management, and stakeholder trust. With diverse regulations across regions and a rapid technological evolution, institutions must carefully integrate Gen AI to stay competitive while prioritizing responsible, transparent adoption. This article explores how industry experts are addressing these challenges, fostering an aligned workforce, and building a roadmap for sustainable AI use.

Nov 29, 2024

Benoît Rouppert, Head of Data & AI, MEILLEURTAUX

Robbi Armstrong, AI Products & Strategy Director, KeyBank

Paul Mullins, Banking Partner, Finkr

The Multi-Territory Compliance Challenge of AI Implementation

The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization

Financial institutions must adapt traditional risk management frameworks to address Gen AI's unique challenges, especially in privacy, legal risks, and model risk management.
Regulatory compliance for Gen AI varies by region, requiring institutions to navigate fragmented policies in the US and stringent standards in the EU.
Educating both internal and external stakeholders is crucial to prevent misconceptions and align on Gen AI’s role, capabilities, and limitations.
A responsible "crawl-walk-run" approach to Gen AI implementation helps institutions maintain transparency, gain trust, and foster steady, strategic adoption.