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How AI sources can increase openness to opposing views.
Louise Lu1, Zakary L Tormala2, Adam Duhachek3
1Stanford University, Stanford, CA, USA. yunzilu@stanford.edu.
Scientific Reports
|May 17, 2025
Summary
People are more open to counterattitudinal messages from artificial intelligence (AI) than from humans. AI messages are seen as less biased, leading to greater receptiveness and potential attitude change.
Area of Science:
- Psychology
- Human-Computer Interaction
- Artificial Intelligence
Background:
- Exposure to counterattitudinal information can have mixed effects on attitude polarization.
- Existing research suggests a general aversion to artificial intelligence (AI) in decision-making contexts.
Purpose of the Study:
- To investigate the differential impact of counterattitudinal messages generated by AI versus human sources.
- To explore how AI and human sources influence message reception and attitude polarization.
Main Methods:
- Four pre-registered studies with 2061 participants.
- Examined perceptions of bias, informativeness, and persuasive intent of AI-generated vs. human-generated counterattitudinal messages.
- Assessed receptiveness to counterattitudinal messages based on the source.
Main Results:
- AI sources were perceived as less biased, more informative, and having less persuasive intent than human sources.
- Participants showed greater receptiveness to counterattitudinal messages from AI compared to human sources.
- Preliminary evidence suggests AI sources may diminish outgroup animosity and facilitate attitude change.
Conclusions:
- Contrary to general AI aversion, individuals are more open to counterattitudinal information from AI.
- AI sources can be more effective than human sources in delivering messages that challenge existing attitudes.
- AI may play a role in reducing intergroup hostility and promoting attitude shifts.
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