Intelligent AI Delegation

2026

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AI-generated summary

1. This paper proposes a comprehensive framework for intelligent AI delegation, addressing limitations in current approaches by incorporating dynamic assessment, adaptive execution, structural transparency, scalable market coordination, and systemic resilience.
2. * Defines intelligent delegation as a sequence of decisions involving task allocation, authority transfer, responsibility, accountability, clear role specifications, trust mechanisms, and capability matching.
* Analyzes various aspects of delegation, including delegator/delegatee types, task characteristics (complexity, criticality, uncertainty, etc.), granularity, autonomy, monitoring, and reciprocity.
* Discusses existing work on delegation, drawing insights from human organizations and exploring hierarchical reinforcement learning and multi-agent systems.
3. AI, agents, delegation, multi-agent, safety

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