Why are we averse towards Algorithms? A comprehensive literature Review on Algorithm aversion

Jussupow, Ekaterina ; Benbasat, Izak ; Heinzl, Armin

URL: https://aisel.aisnet.org/ecis2020_rp/168
Additional URL: https://dblp.uni-trier.de/db/conf/ecis/ecis2020.ht...
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: 28th European Conference on Information Systems - Liberty, Equality, and Fraternity in a Digitizing World, ECIS 2020, Marrakech, Morocco, June 15-17, 2020 : Proceedings
Page range: RP 168
Conference title: ECIS 2020
Location of the conference venue: Online
Date of the conference: 15.-17.06.2020
Publisher: Rowe, Frantz
Place of publication: Atlanta, GA
Publishing house: AISeL
ISBN: 978-1-7336325-1-5
Publication language: English
Institution: Business School > ABWL u. Wirtschaftsinformatik I (Heinzl 2002-)
Subject: 330 Economics
Abstract: With technological developments in artificial intelligence, algorithms are increasingly capable to perform tasks that were considered to be unique for humans. However, literature suggests that although algorithms are often superior in performance, users are reluctant to interact with algorithms instead of human agents – a phenomenon known as algorithm aversion. But, as algorithm aversion is attracting scientific attention, empirical findings are inconclusive and papers find the opposite effect of algorithm appreciation. With this literature review, we synthesize evidence from 29 publications with 84 distinct experimental studies to investigate how algorithm characteristics and human agents’ characteristics influence algorithm aversion. We show how algorithm agency, performance, perceived capabilities and human involvement as well as human agents’ expertise and social distance, influence whether users develop algorithm aversion, i.e., choose humans over algorithms, utilize humans’ support more often and evaluate humans’ actions more favourable. Furthermore, we provide a systematic conceptualization of aversion as a biased assessment and develop propositions for future research. With our work, we contribute to algorithm aversion literature and the contemporary discussion on the impact of algorithmic agents on the future of work. We indicate that the emerging literature stream on algorithm aversion is worth considering for human-computer interaction researchers.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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