Background information
In the whitepaper “Managing AI risks”, Jos Gheerardyn discusses how Model risk management (MRM) provides a proven framework to manage the risks of AI. After highlighting the main components of a sound MRM framework, he discusses which aspects need to be fine-tuned to address the specificities of AI models.
These include a.o. stakeholder management, dealing with technological complexity and managing third-party risk. He concludes by giving an overview of the main regulatory initiatives and gives advice on how to navigate their complexity.
Author
![Managing AI risks jos_gheerardyn](https://www.yields.io/wp-content/uploads/2024/04/jos_gheerardyn-865x1024.webp)
Jos Gheerardyn has built the first FinTech platform that uses AI for real-time model testing and validation on an enterprise-wide scale. A zealous proponent of model risk governance & strategy, Jos is on a mission to empower quants, risk managers and model validators with smarter tools to turn model risk into a business driver. Prior to his current role, he has been active in quantitative finance both as a manager and as an analyst.