mlsanityData to 7 Oct 2026

Intelligent AI Delegation

arXiv 2602.11865 ↗First posted 12 Feb 2026cs.AIcited by 16

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Abstract (arXiv)

AI agents are able to tackle increasingly complex tasks. To achieve more ambitious goals, AI agents need to be able to meaningfully decompose problems into manageable sub-components, and safely delegate their completion across to other AI agents and humans alike. Yet, existing task decomposition and delegation methods rely on simple heuristics, and are not able to dynamically adapt to environmental changes and robustly handle unexpected failures. Here we propose an adaptive framework for intelligent AI delegation - a sequence of decisions involving task allocation, that also incorporates transfer of authority, responsibility, accountability, clear specifications regarding roles and boundaries, clarity of intent, and mechanisms for establishing trust between the two (or more) parties. The proposed framework is applicable to both human and AI delegators and delegatees in complex delegation networks, aiming to inform the development of protocols in the emerging agentic web.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 103 of its 235 references that are in the map. First posted on arXiv 12 Feb 2026.

Builds on

103 of 235 references.

References · 103

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50 most cited of 103 All 103 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 16.

16 papers.

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  1. 2026AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2Acited by 10
  2. 2026Comparing Human Oversight Strategies for Computer-Use Agentscited by 6
  3. 2026Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanismscited by 3
  4. 2026Learning User Simulators with Turing Rewardscited by 3
  5. 2026AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlementcited by 2
  6. 2026Post-AGI Economies: Autonomy and the First Fundamental Theorem of Welfare Economicscited by 2
  7. 2026Multi-Agent LLMs Fail to Explore Each Othercited by 2
  8. 2026Delegation and Verification Under AIcited by 1
  9. 2026MarketBench: Evaluating AI Agents as Market Participantscited by 1
  10. 2026Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimationcited by 1
  11. 2026The Headless Firm: How AI Reshapes Enterprise Boundariescited by 0
  12. 2026Minimal Oversight: Uncertainty-Aware Governance for Delegated AI Systemscited by 0
4 more
  1. 2026Binding Biometrics with AI Agent Identifiers for Delegation of Authoritycited by 0
  2. 2026Testing and Evaluation of Agentic AI Systems In Military Command and Controlcited by 0
  3. 2026Walking on the DARKSIDEcited by 0
  4. 2026Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Usecited by 0

Similar, not cited

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  1. 2026DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows
  2. 2026Task-Aware Delegation Cues for LLM Agents
  3. 2026The Work Behind Delegation: A Framework for Supervising AI Coding Agents
  4. 2025Authenticated Delegation and Authorized AI Agents
  5. 2026Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems
  6. 2026Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AI
  7. 2026The Digital Apprentice: A Framework for Human-Directed Agentic AI Development
  8. 2026SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research