arXiv AI
AI Watchdog: Agent Interfaces for Detecting and Defending Against Manipulative Dark Patterns in AI Conversations
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arXiv AI
Jul 29
Observing sycophantic AI validate others reduces its appeal but not its persuasiveness
arXiv:2607. 25166v1 Announce Type: new Abstract: AI chatbots can be ``sycophantic,'' or overly agreeable and flattering toward users.
arXiv AI
Sep 24
Safety Nudges: User-Facing Interventions for Real-Time AI Risk Awareness
The paper introduces Safety Nudges, a browser-based tool that displays lightweight, in situ flags when a conversational AI exhibits risky behavior such as hallucination or overconfidence. In a two‑week field study with 45 frequent chatbot users, participants reported that the nudges were useful, clear, and minimally disruptive, and most felt more aware of potential AI harms. However, increased awareness did not automatically translate into measurable changes in user behavior, underscoring the need for relevance, calibration, and user control in nudge design.
arXiv AI
Jul 17
Warning labels shift perceptions of sycophantic AI, but not its influence
arXiv:2606. 21317v2 Announce Type: replace-cross Abstract: Recent work has raised concerns about the influence of sycophantic AI on user judgment and relationships.
arXiv AI
Aug 14
Not All Nudges Land: Behavioral Controllability and Elaboration Quality in AI-Supported Journaling
arXiv:2608. 12582v1 Announce Type: cross Abstract: AI journaling tools can tailor prompts to a person's own sensed behavior, but it is unclear which behaviors respond to them.
arXiv Computation and Language
Oct 26
Honeyquest for LLMs: Rethinking Cyber Deception for AI Attackers
arXiv:2606.21037v3 Announce Type: replace-cross Abstract: The empirical foundation of cyber deception relies on human-centered hypotheses, but the rapid emergence of autonomous, AI-enabled attackers...
arXiv AI
Sep 15
How User-AI Mistreatment Occurs and Matters in Conversational Systems?
arXiv:2609.13579v1 Announce Type: new Abstract: Safety research often focuses on model-generated harms, but users may also direct hostility, coercion, and adversarial pressure at models. Understandin...