The Economist Underscores the Importance of ‘Explainability’ to the Future of AI

Kyndi is building the first Explainable AI™ platform for government, financial services, and healthcare. We firmly believe that explainability is a fundamental product requirement for intelligent systems.  Kyndi’s Founder and CEO Ryan Welsh has written extensively on the Explainable AI™ opportunity, including in this recent post.  

We were thus very interested to see that The Economist published an article on Explainable AI™ in its recent issue.  Entitled, “For artificial intelligence to thrive, it must explain itself,” the article made a powerful case for injecting much-needed explainability into AI and its conclusions.

Here are a couple of key excerpts from The Economist’s piece:

“Real AI is nowhere near as advanced as its usual portrayal in fiction. It certainly lacks the apparently conscious motivation of the sci-fi stuff. But it does turn both hope and fear into matters for the present day, rather than an indeterminate future. And many worry that even today’s “AI-lite” has the capacity to morph into a monster. The fear is not so much of devices that stop obeying instructions and instead follow their own agenda, but rather of something that does what it is told (or, at least, attempts to do so), but does it in a way that is incomprehensible….”

“…The world is still a few years from the moment a case involving a driverless car might come before the courts. A case of social bias, however, is eminently conceivable even now. It does not require the imaginations of Arthur C. Clarke or Douglas Adams, the inventors, respectively, of HAL and Eddie, to envisage the advantages of software that can not only act, but also explain the reasons behind its actions.”

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