The Human Factor in AI-Based Decision-Making:

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 de...

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Bibliographic Details
Main Authors: Meissner, Philip (Author), Keding, Christoph (Author)
Corporate Authors: O'Reilly for Higher Education (Firm) (Contributor), Safari, an O'Reilly Media Company (Contributor)
Format: Electronic eBook
Language:English
Published: [Erscheinungsort nicht ermittelbar] MIT Sloan Management Review 2021
Edition:1st edition.
Subjects:
Links:https://learning.oreilly.com/library/view/-/53863MIT63219/?ar
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.
Item Description:Online resource; Title from title page (viewed October 12, 2021)
Physical Description:1 Online-Ressource (7 Seiten)