
Julie Shah and Ben Armstrong, MIT //Invisible Machines S1E10
Invisible Machines podcast by UX Magazine
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The Importance of Explainable AI
Research shows that there's an important role to be played on the part of the machine in acting so as to effectively calibrate trust of a human interacting with it. So and then you see a part of that in the boom of research and the importance of explainable AI. One of the motivations for being able to explain the behavior of a robot or the output of a classifier is to be able to not just engender trust as someone will use the system but for a person to build a conceptual model of how the system is behaving when they accept its output and when they don't. And I believe you guys what you're suggesting is the big opportunities in raising the bar not just automating
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