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How to Capitalize on Generative AI
McAfee, Andrew; Rock, Daniel; Brynjolfsson, ErikArticle HBS-S23061-EInformation TechnologiesBusiness 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. Is ...Starting at €8.20
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A Better Way to Onboard AI
Babic, Boris; Chen, Daniel L.; Evgeniou, Theodoros; Fayard, Anne-LaureArticle HBS-R2004C-EInformation TechnologiesIn a 2018 Workforce Institute survey of 3,000 managers across eight industrialized nations, the majority of respondents described artificial intelligence as a valuable productivity tool. But respondents to that survey also expressed fears that AI would taStarting at €8.20
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When Machine Learning Goes Off the Rails
Babic, Boris; Glenn Cohen, I; Evgeniou, Theodoros; Gerke, SaraArticle HBS-R2101F-EInformation TechnologiesProducts and services that rely on machine learning-computer programs that constantly absorb new data and adapt their decisions in response-don't always make ethical or accurate choices. Sometimes they cause investment losses, for instance, or biased hiring or car accidents. And as such offerings proliferate across markets, the companies creating them face major new risks. Executives need to understand and mitigate the technology's potential down...Starting at €8.20