[2602.11865] Intelligent AI Delegation

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arXiv:2602.11865 (cs)

[Submitted on 12 Feb 2026]

Title:Intelligent AI Delegation

Authors:Nenad Tomašev, Matija Franklin, Simon Osindero<br>View a PDF of the paper titled Intelligent AI Delegation, by Nenad Toma\v{s}ev and 2 other authors

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Abstract: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.

Subjects:

Artificial Intelligence (cs.AI)

Cite as:<br>arXiv:2602.11865 [cs.AI]

(or<br>arXiv:2602.11865v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2602.11865

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arXiv-issued DOI via DataCite

Submission history<br>From: Nenad Tomasev [view email]<br>[v1]<br>Thu, 12 Feb 2026 12:11:42 UTC (847 KB)

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