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Me vs. the machine? Subjective evaluations of human- and AI-generated advice.
Merrick R Osborne1, Erica R Bailey2
1U.C. Berkeley, Haas School of Business, Berkeley, United States. mrosborne@berkeley.edu.
Scientific Reports
|February 1, 2025
Summary
Artificial intelligence (AI) provides superior personal advice compared to humans, yet users show bias against it. Interacting with AI tools can also negatively impact self-perception and authenticity ratings.
Area of Science:
- Human-Computer Interaction
- Artificial Intelligence Ethics
- Cognitive Psychology
Background:
- Growing integration of AI in decision-making.
- Public skepticism and aversion towards AI tools.
- Limited understanding of AI's impact on self-perception.
Purpose of the Study:
- Evaluate performance of large language models (LLMs) in personal advice.
- Investigate user perceptions of AI-generated advice (quality, effectiveness, authenticity).
- Explore how AI interaction influences user self-evaluations.
Main Methods:
- Five preregistered experiments with 1,722 participants.
- Comparison of human- vs. ChatGPT-generated advice.
- Manipulation of interaction order between AI and self-generated advice.
Main Results:
- ChatGPT advice superior to average human advice, even in sensitive domains like relationships.
- Bias against ChatGPT advice evident only when its origin is known.
- Generating advice before AI interaction improves AI advice ratings.
- Interacting with AI before self-generation decreases self-rated authenticity.
Conclusions:
- AI demonstrates a bias in personal advice domains.
- AI use can trigger "me vs. the machine" social comparisons.
- AI interaction has significant effects on user self-perception and authenticity.
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