Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
arXiv:2606.16326v1 Announce Type: cross Abstract: Paper A defines a time-consistent actuarial runtime that prices each side-effect-bearing action against a contractually fixed safe default and gates execution against a reserve budget. It treats the operator as passive. This paper makes the operator strategic. We characterise a five-attack space for autonomous AI-agent insurance contracts and prove when the actuarial runtime is gaming-resistant. Two attack surfaces -- post-toll safe-default selection and within-boundary action splitting -- are closed by Paper A's minimal-authority and no-splitt
The paper addresses an emerging critical need to secure autonomous AI agents as they become more prevalent, reflecting current research efforts in AI safety and robustness.
As AI agents gain autonomy and control over significant resources, establishing robust and gaming-resistant insurance frameworks is fundamental to their deployment and societal trust.
The research formalizes a five-attack space for AI agent insurance and proposes specific mechanisms (minimal-authority, no-splittable tokens) to make actuarial runtimes gaming-resistant, moving towards more secure AI operations.
- · AI agents developers
- · Insurance providers specializing in AI
- · Organizations deploying autonomous AI systems
- · Malicious actors attempting to exploit AI agent insurance
- · Unsecured AI systems
- · Traditional insurance models
The adoption of mathematically proven gaming-resistant mechanisms becomes a new standard for AI agent insurance contracts.
Increased trust and accelerated deployment of high-autonomy AI agents in critical sectors due to enhanced financial safety nets.
New regulatory frameworks emerge, mandating specific levels of gaming resistance and security for AI insurance, creating a specialized compliance industry.
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Read at arXiv cs.AI