Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks
Alice Gao, Andrew N. Meltzoff, Maarten Sap, Katharina Reinecke

TL;DR
This study demonstrates that framing AI with specific values and comparing them to users' own can significantly reduce reliance on AI suggestions and promote more personalized writing in AI-supported tasks.
Contribution
The paper introduces a value-framing intervention that effectively decreases AI reliance and increases writing originality, highlighting the importance of value awareness in AI-assisted writing.
Findings
AI reliance decreased by 20% with value framing.
More unique text in essays when users viewed AI's values.
Value awareness encourages personalized writing.
Abstract
Despite a global user base adopting large language models (LLMs) for daily writing tasks, model suggestions tend to align with Western values. Research has shown users commonly accept a high fraction of these AI suggestions, homogenizing writing styles and rendering outputs more ``Western'' than intended. While this suggests a need to reduce AI reliance, it remains unknown what kind of interventions could achieve this. Can framing the AI with specific values, and comparing it to one's own, make users less susceptible to overreliance and support more unique writing? We tested this hypothesis in a between-subjects online experiment with Indian and American participants (n=149) in which they were asked to perform AI-supported writing tasks, either 1) without an intervention, 2) after seeing an overview of the AI's framed values, or 3) after seeing an overview of the AI's framed values…
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