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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, Keding, Christoph (Author)
Format: eBook
Language:English
Published: MIT Sloan Management Review 2021
Edition:1st edition
Subjects:
Affaires / Innovations
Gestion / Informatique
Business / Technological Innovations
Artificial Intelligence / Fast
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Artificial Intelligence
Intelligence Artificielle
Business / Data Processing / Http://id.loc.gov/authorities/subjects/sh85018264
Business / Technological Innovations / Fast
Business / Data Processing / Fast
Artificial Intelligence / Aat
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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:Made available through: Safari, an O'Reilly Media Company
Physical Description:7 pages

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