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Evidence record 10543 · automatically gathered

AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation

arXiv:2607.13230v1 Announce Type: cross Abstract: Agentic AI introduces new insurance challenges because autonomous AI systems can make decisions, invoke tools, modify external environments, and interact with third-party services. This paper develops an AI-native mathematical framework for underwriting, pricing, and contract design for agentic AI deployments. A deployment is represented by a risk state that captures autonomy level, operational authority, permission exposure, governance maturity,

Record details

Published: 16 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Jobs & economy · Agents & autonomy · Environment
Retrieved: 16 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (16 July 2026), “AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation,” evidence record 10543, https://ethics.ai/record/10543 (originally published by arXiv cs.CY).

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