Risks of observable and unobservable biases in artificial intelligence predicting consumer choice

Artikel

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a short synthesis of cognitive biases and their potential risk of being replicated in AI-based choice prediction. We also discuss for the first time the risk of unobservable biases, which affect choice indirectly, through other biases. We exemplify this by looking at looking at three prevalent, most frequently investigated biases in consumer behaviour: extremeness aversion, regret aversion and cognitive regulatory focus (prevention- versus promotion-focus). Based on a sample of 1747 respondents, through partial least squares structural equation modelling and significance testing, we show that regret aversion (unobservable bias) significantly reduces extremeness aversion (observable bias) and mediates the influence of cognitive regulatory focus (unobservable bias).

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Amfiteatru Economic Journal ; ISSN: 2247-9104 ; Volume: 23 ; Year: 2021 ; Issue: 56 ; Pages: 102-119

Classification and Topics

• Classification: Wirtschaft ; Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡ ; Information, Knowledge, and Uncertainty: General ; Microeconomic Behavior: Underlying Principles
• Subject: cognitive bias ; artificial intelligence ; choice prediction ; consumer choice behaviour ; regret aversion ; extremeness aversion ; regulatory focus

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Teleaba, Florian ; Popescu, Sorin ; Olaru, Marieta ; Pitic, Diana
• Event: Veröffentlichung
• (who): The Bucharest University of Economic Studies
• (where): Bucharest
• (when): 2021

Further information

• DOI: doi:10.24818/EA/2021/56/102
• Handle: http://hdl.handle.net/10419/281562
• Last update: 10.03.2025, 11:44 AM CET