The Human Factor in AI-Based Decision-Making /

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Bibliographic Details
Author / Creator:Meissner, Philip, author.
Edition:1st edition.
Imprint:MIT Sloan Management Review, 2021.
Description:1 online resource (7 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13695269
Hidden Bibliographic Details
Other authors / contributors:Keding, Christoph, author.
O'Reilly for Higher Education (Firm), distributor.
Safari, an O'Reilly Media Company.
Digital file characteristics:text file
Notes:Made available through: Safari, an O'Reilly Media Company.
Online resource; Title from title page (viewed October 12, 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.
Standard no.:53863MIT63219