Semi-structured interviews with 13 early adopters in one large tech organization identify multiple framings of transparency and synthesize them into a developer-user-governance multidimensional framework.
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An online experiment finds that showing users an overview of an AI's values reduces reliance on AI suggestions during writing tasks.
citing papers explorer
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"So There's a Catch-22 Here": How Early Adopters Who Build Multi-Agent LLM Systems Conceptualize Transparency
Semi-structured interviews with 13 early adopters in one large tech organization identify multiple framings of transparency and synthesize them into a developer-user-governance multidimensional framework.
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Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks
An online experiment finds that showing users an overview of an AI's values reduces reliance on AI suggestions during writing tasks.