AI Use Reduces Perceived Warmth and Trust
A new study published in Computers in Human Behavior by Scott Claessens and colleagues finds that using AI to compose personal messages, like apologies, love letters or wedding vows, makes senders appear less warm, moral and authentic. The research shows these negative perceptions are task-dependent—AI assistance is tolerated for instrumental tasks but penalized in socio-relational contexts, implying people should avoid outsourcing sensitive personal communication to preserve trust.
Key Points
- 1Finds AI-written social messages make senders appear less warm, moral, and authentic.
- 2Shows socio-relational contexts penalize AI assistance differently than instrumental tasks, revealing norm-based differences.
- 3Advises practitioners and users to avoid outsourcing apologies and love notes to preserve trust.
Scoring Rationale
Peer-reviewed evidence shows notable social costs of AI-assisted personal messages, but results focus narrowly on socio-relational tasks.
Sources
Public references used for this report.
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