Ethan Mollick outlines "three fundamental truths about today’s AI" - ubiquity, and both capability and risks which are as enormous as they are unclear - and proposes "a pragmatic way to consider when AI might be helpful, called Best Available Human (BAH) standard... asks the following question: would the best available AI in a particular moment, in a particular place, do a better job solving a problem than the best available human that is actually able to help in a particular situation?" and then gives 2 examples:
The key here is that "the AI is walking you through the process... not doing it for you... the risks ... is manageable". The risks are higher in other areas "where access to human experts is limited for many people: education, health care, and mental health", although people are already trying. But it's worth remembering that "For many people, the Best Available Human is nobody."
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See also: Digital Transformation , Innovation Strategy , Science&Technology
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