Explainable/Interpretable AI
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Description
One of the major challenges with effectively developing, deploying, and managing AI systems are often related to the “black box” nature of the model. Specifically, the complexity and non-linear nature of variables in some black-box AI models may be difficult to explain or understand. This includes explainability of the model logic as well as the individual decisions made by the model.
More Episodes
Hear from Daniel Wagner, CEO of Country Risk Solutions, about the complexities of the global geopolitical risk landscape. In these volatile and uncertain times, identifying, measuring and managing geopolitical risk is a daunting task. Everywhere we turn, geopolitical struggles are grabbing...
Published 04/14/24
Published 04/14/24
 In this podcast, Julie Muckleroy, Global Banking Strategist from SAS, and Abraham Izquierdo, Managing Director of Trading and Treasury Risks at Grupo Financiero Banorte, explore the top risk management trends for 2024. With the start of 2024, persistent high interest rates and inflation remain...
Published 02/16/24