AI chatbots are increasingly deployed across all areas of life. Research on conversational dark patterns documents influence-based harms such as biased framing and behavioral steering, while AI companion research highlights relational harms including boundary violations and social discomfort. Yet it remains unclear whe...
Vanessa Budde, Eran Toch· Message Understanding Confer...· 0 citations
XCal-FL is proposed, a closed-loop, explainability-driven local training algorithm for image classification in cross-silo FL that dynamically calibrates DP noise from three complementary signals, suggesting explainability is a distinct dimension of the privacy trade-off that cannot be inferred from utility alone, with...
Michael Khavkin, Kichang Lee, Jaeho Jin et al.· 0 citations
Manipulative interactions were associated with evaluative contexts and steering behaviors, whereas inappropriate interactions were linked to relational contexts and social discomfort, and implications for trustworthy AI design and for regulatory frameworks such as the EU AI Act are discussed.
Vanessa Budde, Eran Toch· Message Understanding Confer...· 0 citations
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