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Here are three AI-driven shifts that, if harnessed, will redefine how we approach customer experience in the future.
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This is partly why explainable AI is not enough, says Anthony Habayeb, CEO of AI governance developer Monitaur. What’s really needed is understandable AI.
Explainable AI works to make these AI black-boxes more like AI glass-boxes. Although businesses understand the many benefits to AI and how it can provide a competitive advantage, they are still wary ...
As AI and machine learning advance, requiring explainable AI and creating verifications of those explanations will become a check against malicious AI or AI that has simply gone off the rails.
Why explainable AI matters According to a report released by KPMB and Forrester Research last year, only 21 percent of US executives have a high level of trust in their analytics.
An explainable AI yields two pieces of information: its decision and the explanation of that decision. This is an idea that has been proposed and explored before.