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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Meissner, Philip (VerfasserIn), Keding, Christoph (VerfasserIn)
Körperschaften: O'Reilly for Higher Education (Firm) (MitwirkendeR), Safari, an O'Reilly Media Company (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: [Erscheinungsort nicht ermittelbar] MIT Sloan Management Review 2021
Ausgabe:1st edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/53863MIT63219/?ar
Zusammenfassung: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.
Beschreibung:Online resource; Title from title page (viewed October 12, 2021)
Umfang:1 Online-Ressource (7 Seiten)