LLM responses to moral judgment queries reinforce implicit humanization, potentially exacerbating overreliance and misplaced trust.
(over)trusting AI recommendations: How system and person variables affect dimensions of complacency
11 Pith papers cite this work, alongside 73 external citations. Polarity classification is still indexing.
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2026 11roles
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In a real UK law-enforcement deployment, crime analysts selectively used AI linkage predictions and validated them against behavioural matrices, attending most to MO similarity and geography.
Self-correction by social chatbots preserves trustworthiness and expertise while leveraging social connection to drive belief change, unlike external corrections which eliminate that link.
Co-design with five BLV experts produced a multi-modal prototype using reference sonification, stereo/volumetric audio, and buffer aggregation that co-designers said improved accuracy and learnability on tasks like peak finding and gradient tracing.
Chaplains view AI chatbots as unable to provide attuned pastoral care for non-clinical emotional needs, based on themes of listening, connecting, carrying, and wanting.
Clover tool and behavioral taxonomy show tab-accept rates linked to lower attention-check scores and dwell time linked to higher scores in AI-assisted programming tasks.
Two linked user studies find that LLM rationale correctness and certainty framing affect trust and decision confidence while presentation format does not, and incorrect rationales increase gaze attention and pupil size.
The paper claims that alignment requires treating AI as part of the self through cognitive co-regulation, identifying risks like deskilling and automation bias while drawing on System 0 cognition theory.
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
Aleena is an open-source AI agent that ingests multi-modal research software collaboration artifacts and transforms them into structured GitHub records to maintain continuous stakeholder alignment across the project lifecycle.
A 2x2 between-subjects experiment finds contextualization lowers AI persuasiveness but warmth restores it through crossover interaction, with reliance invariant to design, trust predicting outcomes independently, and AI literacy decoupling trust from behavior.
citing papers explorer
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Implicit Humanization in Everyday LLM Moral Judgments
LLM responses to moral judgment queries reinforce implicit humanization, potentially exacerbating overreliance and misplaced trust.
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How Analysts Use AI in High-Stakes Crime Linkage: An Industrial Study
In a real UK law-enforcement deployment, crime analysts selectively used AI linkage predictions and validated them against behavioural matrices, attending most to MO similarity and geography.
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Correct Yourself, Keep My Trust: How Self-Correction and Social Connection Shape Credibility in Social Chatbots
Self-correction by social chatbots preserves trustworthiness and expertise while leveraging social connection to drive belief change, unlike external corrections which eliminate that link.
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Three Modalities, Two Design Probes, One Prototype, and No Vision: Experience-Based Co-Design of a Multi-modal 3D Data Visualization Tool
Co-design with five BLV experts produced a multi-modal prototype using reference sonification, stereo/volumetric audio, and buffer aggregation that co-designers said improved accuracy and learnability on tasks like peak finding and gradient tracing.
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Chaplains' Reflections on the Design and Usage of AI for Conversational Care
Chaplains view AI chatbots as unable to provide attuned pastoral care for non-clinical emotional needs, based on themes of listening, connecting, carrying, and wanting.
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To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
Clover tool and behavioral taxonomy show tab-accept rates linked to lower attention-check scores and dwell time linked to higher scores in AI-assisted programming tasks.
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When LLM Rationales Become User-Facing: Effects on Trust Perception, Decision-Making, and Gaze Behaviors
Two linked user studies find that LLM rationale correctness and certainty framing affect trust and decision confidence while presentation format does not, and incorrect rationales increase gaze attention and pupil size.
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Position: AI as Part of Self -- Extending the Mind Requires Cognitive Co-Regulation
The paper claims that alignment requires treating AI as part of the self through cognitive co-regulation, identifying risks like deskilling and automation bias while drawing on System 0 cognition theory.
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"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
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Aleena: Alignment Agent for Research Software Engineering Collaborations
Aleena is an open-source AI agent that ingests multi-modal research software collaboration artifacts and transforms them into structured GitHub records to maintain continuous stakeholder alignment across the project lifecycle.
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Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
A 2x2 between-subjects experiment finds contextualization lowers AI persuasiveness but warmth restores it through crossover interaction, with reliance invariant to design, trust predicting outcomes independently, and AI literacy decoupling trust from behavior.