Not so intelligent after all – consumer perceptions of AI-induced errors

Mueller, Alexander ; Kuester, Sabine ; Janda, Sergej von

Document Type: Conference or workshop publication
Year of publication: 2022
Book title: 2022 AMA Winter Academic Conference: reconnecting and reconceiving the marketplace ; February 10-11, virtual ; February 18-20, Las Vegas, Nevada ; proceedings
The title of a journal, publication series: Proceedings / AMA Winter Academic Conference
Volume: 33
Page range: 121-123
Conference title: AMA Winter Academic Conference 2022
Location of the conference venue: Online (10.-11.02.2022) und Las Vegas, NV (18.-20.02.2022)
Date of the conference: 10.-11.02.2022 online und 18.-20.02.22 in-person
Publisher: Humphreys, Ashlee ; Packard, Grant ; Gielens, Katrijn
Place of publication: Evanston, IL ; Omaha, NE
Publishing house: American Marketing Association ; Curran
ISBN: 978-0-87757-012-7
Publication language: English
Institution: Business School > Marketing & Innovation (Kuester 2005-)
Subject: 330 Economics
Keywords (English): artificial Intelligence , technical errors , social errors , norm violations , pratfall effect
Abstract: Despite the progress in technology, AI still commonly errs in practice. Google’s facial recognition software, for example, failed to identify people of color as humans. This and other examples show that AI is not always error-free and recent literature calls for scrutiny of AI’s pitfalls. The present study sets out to explore the ‘dark side’ of AI, focusing on the consequences of AI-induced errors from a marketing perspective.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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