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2022 | OriginalPaper | Buchkapitel

4. Künstliche Intelligenz im Management

Chancen und Risiken von Künstlicher Intelligenz als Entscheidungsunterstützung

verfasst von : Jeanette Kalimeris, Sabrina Renz, Sebastian Hofreiter, Matthias Spörrle

Erschienen in: Praxisbeispiele der Digitalisierung

Verlag: Springer Fachmedien Wiesbaden

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Zusammenfassung

Menschliche Entscheidungen sind fehleranfällig und unterliegen oft kognitiven Verzerrungen. Insbesondere bei Entscheidungen, die von Unsicherheit, Dringlichkeit und Komplexität gekennzeichnet sind, ist dies der Fall. Hierbei gilt es zwischen Fehlern, die durchaus bedeutsam für den Erkenntnisgewinn sein können und dem Irrtum zu differenzieren. Letzteres basiert auf einer inkorrekten Einschätzung und kann nicht immer als solche bestimmt werden. Diverse Managemententscheidungen unterliegen ebenfalls Fehlern und kommen als Verzerrungen in Personalentscheidungen oder im strategisch organisationalen Kontext zu tragen. Der Einsatz von Künstlicher Intelligenz (KI) im Management kann menschlichen Verzerrungen entgegenwirken und Transparenz in Entscheidungsprozessen bringen. Zudem kann der Einsatz von KI die zunehmende Komplexität, Ambiguität und Unsicherheiten im Umgang mit großen Datenstrukturen reduzieren. Dabei gilt es jedoch auf potentielle Fallstricke zu achten, da eine KI durchaus auch fehleranfällig sein kann und diese strukturellen Fehler (z. B. verzerrte Trainingsdaten) dementsprechend in praktischen Szenarien anwendet. Darüber hinaus gilt es ethische und moralische Aspekte in der Interaktion zwischen Menschen und KI in symbiotischen Entscheidungsprozessen zu berücksichtigen und zu implementieren. Dieses Kapitel beleuchtet den Einsatz von KI in Managemententscheidungen und den damit verbundenen Vorteilen sowie Herausforderungen, die dem aktuellen Stand der Technologie zugrunde legen.

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Titel: Künstliche Intelligenz im Management
verfasst von: Jeanette Kalimeris
Sabrina Renz
Sebastian Hofreiter
Matthias Spörrle
Verlag: Springer Fachmedien Wiesbaden
Buch: Praxisbeispiele der Digitalisierung
Print ISBN: 978-3-658-37902-5

Electronic ISBN: 978-3-658-37903-2

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-658-37903-2_4

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