Models human-AI delegation as a decision process that scales to collective equilibria, identifying sociotechnical lock-in as a prisoner's dilemma that degrades epistemic standards absent communicative and institutional safeguards.
Improving Human-AI Collaboration With Descriptions of AI Behavior
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Student-AI prompting trajectories in programming assignments range from direct copying to iterative refinement and serve as windows into self-regulation and learning orientation.
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
citing papers explorer
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The Human-AI Delegation Dilemma: Individual Strategies, Collective Equilibria and Sociotechnical Lock-in
Models human-AI delegation as a decision process that scales to collective equilibria, identifying sociotechnical lock-in as a prisoner's dilemma that degrades epistemic standards absent communicative and institutional safeguards.
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Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education
Student-AI prompting trajectories in programming assignments range from direct copying to iterative refinement and serve as windows into self-regulation and learning orientation.
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.