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How AI sources can increase openness to opposing views.

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Summary
This summary is machine-generated.

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.

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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.