Readers see AI disclosure in writing as more necessary than writers, particularly for irreplaceable and direct AI contributions, with intentionality showing opposite effects on each group and effort showing none.
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A qualitative study of a provotype shows that adding transparency and control features to AI recommender interfaces helps users understand personalization, address filter bubble concerns, and build trust.
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What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?
Readers see AI disclosure in writing as more necessary than writers, particularly for irreplaceable and direct AI contributions, with intentionality showing opposite effects on each group and effort showing none.
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Rethinking User Empowerment in AI Recommender System: Innovating Transparent and Controllable Interfaces
A qualitative study of a provotype shows that adding transparency and control features to AI recommender interfaces helps users understand personalization, address filter bubble concerns, and build trust.