AI RESEARCH
DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow
arXiv CS.AI
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ArXi:2509.12626v3 Announce Type: replace-cross 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.