Risks in AI – How to control your algorithms

risks_in_ai_how_to_control_your_algorithms

Background information

The surge in interest and demand for AI applications globally has spurred regulators to intensify their efforts in developing and implementing a framework that can curb the risks associated with its use.

In this presentation, Jos Gheerardyn shares his insights about the race to regulate AI, the current technology landscape and the best practices in AI risk management.


Author

Jos Gheerardyn, CEO & Co-founder at Yields.io

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.

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