Related papers: A pragmatic approach to regulating AI agents

A pragmatic approach to regulating AI agents

URL: http://arxiv.org/abs/2604.22819v1
Date: Thu, 16 Apr 2026 13:04:52 GMT
Title: A pragmatic approach to regulating AI agents
Abstract summary: We argue that the unique capacity of agents to autonomously reason, plan, and execute tasks requires a shift in oversight toward the orchestration layer.<n>Our proposals highlight the need for robust accountability mechanisms to manage this heightened autonomy.<n>We advocate for a "traffic light" system of staggered task authorization based on operational risk and the creation of a statutory list of non-delegable legal acts.
Score: 0.7276372008305616
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The current advancement in and deployment of agentic AI systems has created a set of key challenges for the legal frameworks that govern their use. We cover two central components: first, the regulatory classification of agents under the EU AI Act, and second, the legal status and validity of autonomous actions within the established framework of EU contract law. We argue that the unique capacity of agents to autonomously reason, plan, and execute tasks across disparate external systems necessitates a fundamental shift in oversight toward the orchestration layer, where multi-agent interactions introduce novel risks of misalignment. While agents generally utilise general-purpose AI models, we posit that their structural complexity and cross-system permeability require them to be regulated as "AI systems" with distinct obligations under the AI Act. Consequently, our proposals highlight the need for robust accountability mechanisms to manage this heightened autonomy. On the contractual side, we advocate for a "traffic light" system of staggered task authorization based on operational risk and the creation of a statutory list of non-delegable legal acts. By implementing these measures, we provide a pragmatic pathway to ensure that the increasing autonomy of AI agents remains firmly anchored in human accountability and existing legal standards

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