From “Handmade” to “AI-Made”: Mitigating Consumers’ Aversion towards AI-Generated Textual Products

Rix, Jennifer und Hess, Thomas (August 2023): From “Handmade” to “AI-Made”: Mitigating Consumers’ Aversion towards AI-Generated Textual Products. 29th Americas Conference on Information Systems (AMCIS 2023), Panama City, Panama, August, 10-12. In: AMCIS 2023 Proceedings. 5,

Abstract

The human creation of a product serves as a quality signal. Given recent progress in generative Artificial Intelligence (AI), the “handmade” label is increasingly replaced by an “AI-made” label. However, due to consumers' inherent algorithm aversion, the “AI-made” label adversely affects consumption behavior. Accordingly, firms need to understand how consumers’ aversion towards AI-generated products can be mitigated. Our explorative approach focuses on the nascent phenomenon of applying generative AI for creating textual news products. Based on 41 consumer interviews, we derive five signals that may mitigate consumers’ concerns with AI-generated textual products: The establishment of a quality control instance, the application of a hard output paradigm, the provision of information and process transparency, and the presence of positive reviews. These signals enable firms to leverage the economic benefits associated with delegating product creation to generative AI agents.

• Dokumententyp: Konferenzbeitrag (Paper)
• Keywords: Artificial Intelligence, Algorithm Aversion, Consumer, News
• Fakultät: Betriebswirtschaft > Institut für Digitales Management und Neue Medien > Digitale Medienunternehmen
• Themengebiete: 300 Sozialwissenschaften > 330 Wirtschaft
• Sprache: Englisch