DemystifyDemystifyExplainability techniques are especially valuable to financial services, where the low signal-to-noise ratio typical of financial data demands a strong feedback loop between user and machine. While there are many use cases for adopting explainable AI in finance, most explainable AI models are used in fintech risk management, in particular, measuring the risks that arise when credit is borrowed.
Black box AI is not acceptable in regulated financial services. To overcome this challenge, explainability of AI models, which provide details and insights to make the functioning of AI clear or easy to understand, is mandatory.
The adoption of explainable AI extends throughout the finance
sector, allowing professionals to apply these machine learning
tools to a variety of different use cases.
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