This study explores the consequences of AI-induced errors from a marketing perspective. Specifically, we explore consumer responses to different error types as the literature distinguishes technical errors, resulting from a technical disruption of algorithmic processes, and social errors, representing task outcomes that may be mathematically correct but deemed inappropriate due to a social norm violation. We also investigate the impact of error severity. This distinction is important because prior research has shown different response patterns depending on error severity. Errors can sometimes even evoke positive reactions as described by the pratfall effect. Based on data gathered in four studies, we find that severe errors, regardless of error type, evoke negative responses from consumers. However, minor social errors lead to significantly fewer negative consumer responses than minor technical errors. Cognitive and affective trust mediate the relationship between error type and consumer responses, incorporating explainable AI (XAI) mitigates negative effects on consumer responses. This study provides a granular perspective on consumer responses to erroneous AI and highlights the importance of AI’s adherence to social norms. Specifically, minor social errors could foster the stigmatization of minorities and suggest the necessity of implementing additional safeguards against social norm violations by AI.
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Abstract auf Seite 58
Dieser Eintrag ist Teil der Universitätsbibliographie.
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