Business leaders are struggling to understand how seriously they should take generative AI.
It has already displayed breathtaking powers to create new content and is used to do things such as write software, transcribe physicians’ interactions with their patients, and let people converse with a CRM system. But it is far from perfect:
It can produce distorted or entirely fabricated output and can be oblivious to privacy and copyright concerns.
It can produce distorted or entirely fabricated output and can be oblivious to privacy and copyright concerns.
Is its importance being overblown?
Are its risks worth the potential rewards?
How can companies figure out where best to apply it?
How should they go about taking their first steps?
Are its risks worth the potential rewards?
How can companies figure out where best to apply it?
How should they go about taking their first steps?
This article will provide guidance.
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by Andrew McAfee, Daniel Rock, and Erik Brynjolfsson
by Andrew McAfee, Daniel Rock, and Erik Brynjolfsson