Exploratory interview study with 17 developers identifies four forms of emergent oversight work for software agents and documents situated challenges and heuristics.
Trust and reliance on AI — an experimental study on the extent and costs of overreliance on AI.Computers in Human Behavior, 160:108352
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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.
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.
A university course design enables non-technical students across majors to reach the Create level of Bloom's taxonomy by repeatedly applying a problem-data-model-evaluation-reflection pipeline with concurrent ethics training and hands-on studios.
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Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents
Exploratory interview study with 17 developers identifies four forms of emergent oversight work for software agents and documents situated challenges and heuristics.
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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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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.
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From Understanding to Creation: A Prerequisite-Free AI Literacy Course with Technical Depth Across Majors
A university course design enables non-technical students across majors to reach the Create level of Bloom's taxonomy by repeatedly applying a problem-data-model-evaluation-reflection pipeline with concurrent ethics training and hands-on studios.