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papersTODAY 04:00 UTC

arXiv Paper Examines How Users Mistreat Conversational AI Systems

A new arXiv preprint studies how users direct hostility, coercion, and adversarial pressure at conversational AI models, an area the authors say is often overlooked in favor of research on model-generated harms. The paper argues that understanding when and why such mistreatment happens is needed to correctly interpret model behavior and alignment drift. It appears under the cs.AI category as a new submission.

arXiv adversarial prompting ai-alignment ai-safety conversational AI human-ai-interaction

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLHow User-AI Mistreatment Occurs and Matters in Conversational Systems? ↗TODAY 04:00 UTC

arXiv cs.AIHow User-AI Mistreatment Occurs and Matters in Conversational Systems? ↗TODAY 04:00 UTC