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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Detalles Bibliográficos
Autores Corporativos: O'Reilly for Higher Education (Firm), distributor (distributor), Safari, an O'Reilly Media Company (-)
Otros Autores: Meissner, Philip, author (author), Keding, Christoph, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: MIT Sloan Management Review 2021.
Edición:1st edition
Materias:
Artificial intelligence.
Business > Data processing.
Business > Technological innovations.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820376506719
Descripción
Sumario: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.
Descripción Física:1 online resource (7 pages)

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