DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow

📰 ArXiv cs.AI

DoubleAgents is a system for human-agent alignment in socially embedded workflows, integrating coordination agents and dashboards for improved task delegation

advanced Published 7 Apr 2026

Action Steps

Identify complex, socially embedded tasks that require human-agent alignment
Develop a coordination agent that maintains state and proposes plans and actions
Design a dashboard visualizing agent actions and user feedback to facilitate alignment
Integrate user preferences and feedback into the agent's decision-making process

Who Needs to Know This

AI engineers and researchers on a team can benefit from DoubleAgents to develop more effective human-agent collaboration systems, while product managers can apply its principles to design more user-centric AI-powered workflows

Key Insight

💡 Human-agent alignment is critical for effective task delegation, and implicit user preferences can be addressed through distributed cognition and visual feedback