Your Insured's AI Agent Caused the Loss: Was It Authorized to Act?

This paper examines a developing insurance problem created by autonomous and semi-autonomous AI agents: when an insured deploys an AI agent that causes a financial, operational, contractual, cyber, or physical loss, who bears responsibility and how should insurers evaluate the resulting exposure? It argues that conventional concepts of permission, access control, spending limits, and technical capability may be insufficient for underwriting increasingly autonomous systems. The paper distinguishes an agent’s capability to act from its presently verified authority to perform a particular consequential action, and considers how authority verification, delegation controls, provenance, reversibility, and auditability could become measurable components of AI risk. The paper is intended as an insurance-industry discussion document addressing emerging questions in underwriting, coverage, claims, risk engineering, and AI governance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-14
DOI
https://doi.org/10.5281/zenodo.21925909
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Your Insured's AI Agent Caused the Loss: Was It Authorized to Act?

Phil Phillips
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Your Insured's AI Agent Caused the Loss: Was It Authorized to Act?

Phil Phillips
article en

Abstract

This paper examines a developing insurance problem created by autonomous and semi-autonomous AI agents: when an insured deploys an AI agent that causes a financial, operational, contractual, cyber, or physical loss, who bears responsibility and how should insurers evaluate the resulting exposure? It argues that conventional concepts of permission, access control, spending limits, and technical capability may be insufficient for underwriting increasingly autonomous systems. The paper distinguishes an agent’s capability to act from its presently verified authority to perform a particular consequential action, and considers how authority verification, delegation controls, provenance, reversibility, and auditability could become measurable components of AI risk. The paper is intended as an insurance-industry discussion document addressing emerging questions in underwriting, coverage, claims, risk engineering, and AI governance.

Zenodo (CERN European Organization for Nuclear Research)
XLAB (Slovenia) (SI)
Partnerships for the goals
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
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