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DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow

Long, Tao et al.
arXiv (OAI Expanded) · Papers
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computers-and-societyemerging-technologieshuman-computer-interaction
Aligning agentic AI with user intent is critical for delegating complex, socially embedded tasks, yet user preferences are often implicit, evolving, and difficult to specify upfront. We present DoubleAgents, a system for human-agent alignment in coordination tasks, grounded in distributed cognition.
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