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Author Meissner, Philip, author.

Title The Human Factor in AI-Based Decision-Making / Meissner, Philip. [O'Reilly electronic resource]

Edition 1st edition.
Publication Info. MIT Sloan Management Review, 2021.
To Access:
Available at O'Reilly for Public Libraries
Bookmark link: https://library.naperville-lib.org:444/record=b3191000~S1
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Description 1 online resource (7 pages)
text file
6.95
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.
Subject Artificial intelligence.
Business -- Data processing.
Business -- Technological innovations.
Artificial Intelligence
Intelligence artificielle.
Gestion -- Informatique.
Affaires -- Innovations.
artificial intelligence.
Artificial intelligence
Business -- Data processing
Business -- Technological innovations
Added Author Keding, Christoph, author.
O'Reilly for Higher Education (Firm), distributor.
Safari, an O'Reilly Media Company.
Standard No. 53863MIT63219
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