The greatest risk in financial AI isn't that machines will make mistakes. It's that institutions will believe they understand those machines when they don't.

Industry analysts have highlighted the rise of generative AI, autonomous analytics, and explainable AI (XAI) as defining ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Artificial intelligence (AI) is highly effective at parsing extreme ...

As AI-powered technologies proliferate in the enterprise, the term “explainable AI” (XAI) has entered mainstream vernacular. XAI is a set of tools, techniques, and frameworks intended to help users ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

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Jeremy Petch will offer more detail at the HIMSS23 session "Opening the Black Box: Promise and Limitations of Explainable AI." It's scheduled for Wednesday, April 19 at 10 a.m. – 11 a.m. CT at the ...

Explainable AI helps companies identify the factors and criteria algorithms use to reach decisions. (Photo by Jens Büttner/picture alliance via Getty Images) Artificial intelligence is biased. Human ...