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The Human Factor in AI-Based Decision-Making / Meissner, Philip.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Meissner, Philip, author.
Keding, Christoph, author.
Contributor:
O'Reilly for Higher Education (Firm), distributor.
Safari, an O'Reilly Media Company.
Language:
English
Subjects (All):
Artificial intelligence.
Business--Data processing.
Business.
Business--Technological innovations.
Physical Description:
1 online resource (7 pages)
Edition:
1st edition.
Place of Publication:
MIT Sloan Management Review, 2021.
Summary:
Individuals' unique decision-making styles inform the choices they make when working with AI-based inputs. The authors explain how organizations can optimize AI and overcome flaws in human judgment by identifying and understanding the three types of decision maker: skeptics, interactors, and delegators. They also offer three strategies for integrating AI into organizational decision-making processes.
Notes:
OCLC-licensed vendor bibliographic record.
OCLC:
1290491060
Publisher Number:
53863MIT63219

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