Proposed method for evaluating user trust in artificial intelligence systems

Every time you speak to a virtual assistant on your smartphone, you are talking to an artificial intelligence—an AI that can, for example, learn your taste in music and make song recommendations that improve based on your interactions. However, AI also assists us with more risk-fraught activities, such as helping doctors diagnose cancer. These are two very different scenarios, but the same issue permeates both: How do we humans decide whether or not to trust a machine’s recommendations?

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