A workflow framework enables asynchronous human-AI collaboration in hybrid HPC setups by allowing checkpoints for human input without halting compute jobs.
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A new incentive mechanism significantly reduces overreliance on AI advice and improves decision quality, demonstrated in a behavioral experiment with 180 participants.
Human oversight for LLM agent actions is capacity-limited by subjective disagreement (kappa 0.52) and fatigue, producing an inverted-U safety curve and vulnerability to flooding attacks in a modeling study.
citing papers explorer
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A Workflow-Oriented Framework for Asynchronous Human-AI Collaboration in Hybrid and Compute-Intensive HPC Environments
A workflow framework enables asynchronous human-AI collaboration in hybrid HPC setups by allowing checkpoints for human input without halting compute jobs.
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When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration
A new incentive mechanism significantly reduces overreliance on AI advice and improves decision quality, demonstrated in a behavioral experiment with 180 participants.
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Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human
Human oversight for LLM agent actions is capacity-limited by subjective disagreement (kappa 0.52) and fatigue, producing an inverted-U safety curve and vulnerability to flooding attacks in a modeling study.