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Posted: 2025-04-30 21:10:30 UTC
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-04-30 21:10:44 UTC
Verified By
Rollup News
A paper by @xiangrenNLP and his team explores how the tone of an LLM affects human trust, finding that warmth and confidence cues can increase reliance regardless of accuracy. The REL-A.I. framework challenges current model safety evaluations.
LLM tone affects human trust
Warmth and confidence cues increase reliance on LLMs
REL-A.I. framework shifts focus to interaction-level risks
Evaluating model safety beyond probabilistic calibration
Addressing interaction-level risks like perceived competence and friendliness