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Den Teufel mit dem Beelzebub austreiben? - Zum Zusammenwirken von Verlustaversion und Algorithmusaversion

Kilian Bizer, Ibrahim Filiz, Florian Kirchhoff, Thomas Nahmer und Markus Spiwoks

sofia Diskussionsbeiträge 2024, No. 5 https://doi.org/10.46850/sofia.9783947850105

Algorithmusaversion beschreibt eine Verhaltensanomalie, nach der Menschen effizienteren, algorithmusbasierten Systemen misstrauen und stattdessen menschliches Urteilsvermögen bevorzugen. Wirtschaftssubjekte laufen damit Gefahr, nicht ihren maximal erreichbaren Nutzen zu realisieren. Diese Studie soll einen Beitrag zu der Frage leisten, wie Algorithmusaversion reduziert werden kann. Im Rahmen eines Laborexperiments wird dafür überprüft, ob die bereits intensiv erforschte, wirkungsvolle Verhaltensanomalie der Verlustaversion zur Reduktion von Algorithmusaversion beitragen kann. Tatsächlich zeigt sich, dass das Gegenteil der Fall zu sein scheint: Die Bereitschaft, einen im Vergleich zu einem menschlichen Experten erkennbar leistungsfähigeren Algorithmus einzusetzen, geht sogar zurück, wenn bei der Entscheidung ein Verlust droht. Dieser Befund stützt andere Forschungsergebnisse, wonach Algorithmusaversion bei schwerwiegenderen möglichen Konsequenzen verstärkt auftritt. Zur Verbreitung algorithmusbasierter Systeme scheint es daher angebracht zu sein, die mit ihrem Einsatz verbundenen Chancen auf Zugewinne zu betonen und sie nicht als Hilfsmittel zur Verlustvermeidung zu bewerben.

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