Options
Overcoming Anchoring Bias : the Potential of AI and XAI-based Decision Support
Haag, Felix; Stingl, Carlo; Zerfass, Katrin; u. a. (2023): Overcoming Anchoring Bias : the Potential of AI and XAI-based Decision Support, in: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies : ICIS 2023, proceedings, New York: AISeL, S. 1–17.
Faculty/Chair:
Author:
Title of the compilation:
Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies : ICIS 2023, proceedings
Conference:
Forty-Fourth International Conference on Information Systems, ICIS 202 ; Hyderabad
Publisher Information:
Year of publication:
2023
Pages:
Language:
English
Abstract:
Information systems (IS) are frequently designed to leverage the negative effect of anchoring bias to influence individuals’ decision-making (e.g., by manipulating purchase decisions). Recent advances in Artificial Intelligence (AI) and the explanations of its decisions through explainable AI (XAI) have opened new opportunities for mitigating biased decisions. So far, the potential of these technological advances to overcome anchoring bias remains widely unclear. To this end, we conducted two online experiments with a total of N=390 participants in the context of purchase decisions to examine the impact of AI and XAI-based decision support on anchoring bias. Our results show that AI alone and its combination with XAI help to mitigate the negative effect of anchoring bias. Ultimately, our findings have implications for the design of AI and XAI-based decision support and IS to overcome cognitive biases.
GND Keywords: ; ; ;
Künstliche Intelligenz
Explainable Artificial Intelligence
Entscheidungsunterstützung
Bias
Keywords: ; ; ; ;
Artificial Intelligence (AI)
Explainable AI (XAI)
Decision Support
Anchoring Bias
Cognitive Bias
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
Activation date:
May 10, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/95220