The Human Factor in AI-Based Decision-Making

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
Corporate Authors: O'Reilly for Higher Education (Firm), distributor (distributor), Safari, an O'Reilly Media Company (-)
Other Authors: Meissner, Philip, author (author), Keding, Christoph, author
Format: eBook
Language:Inglés
Published: MIT Sloan Management Review 2021.
Edition:1st edition
Subjects:
Artificial intelligence.
Business > Data processing.
Business > Technological innovations.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820376506719
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.
Physical Description:1 online resource (7 pages)

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