Year: 2025
Type: article
Abstract: Generative Artificial Intelligence (AI) has elicited much attention across disciplines and industries. On the one hand, we see an unstoppable growth of users. On the other hand, generative AI is often criticized for generating biased content that violates users’ trust and negatively affects AI use. To understand the inconsistency, we conduct a mixed-methods research to examine why users forgive AI bias. We propose a model of self-AI connection to explain why users forgive AI. We argue that the human-like features of AI can form a self-AI connection. And the self-AI connection can foster trust and satisfaction toward AI. We test our research model using quantitative study. The qualitative study seeks to develop an in-depth understanding of how the self-AI connection forms and why that leads to users’ willingness to forgive AI. Our research contributes to user-AI interaction and trust theory.
Authors: Sarkar, Sandip Kumar, Zhu, Yaping
Institutions: Saint Louis University, Middle Tennessee State University
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7025574520
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