insurance

The article examines how AI systems' lack of legal responsibility creates a burgeoning market for human accountability, insurance, and liability services, using the Air Canada chatbot ruling as a key example.

AI is being piloted by the Trump administration for insurance prior authorization decisions, but physicians worry it may increase wrongful denials of necessary treatments.

This paper develops an AI-native framework for underwriting, pricing, and contract design for agentic AI deployments, representing each deployment by a risk state and formulating a contract-design problem over premiums, deductibles, and governance obligations.

A new report on AI underwriting, covered by the Financial Times, highlights insurance as an important tool for AI governance, creating market demand for incident data, standards, audits, monitoring, and response services.

A Wired article reports on a closed-door simulation where insurance executives role-play a Chinese cyberattack on US water utilities, revealing a nightmare scenario of cascading failures including hospital evacuations and supply chain disruptions.

This summer's extreme heat is exposing vulnerabilities in data center infrastructure, with grid operators curtailing power, nuclear plants shutting down, and insurers noting severe weather as top cause of loss, raising questions about the industry's preparedness for a warming world.

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This paper proposes a hierarchical Bayesian credibility framework for pricing autonomous vehicle liability insurance under operational design domain (ODD) shift, pooling sparse experience across cities and software versions using a learned ODD-similarity kernel. Demonstrated on Waymo crash data, the method outperforms no-pooling approaches and addresses the prospective ratemaking challenge for autonomous driving systems.

This white paper proposes using LSTM neural networks to detect structural breaks in property insurance loss reserving caused by climate-driven catastrophes, aiming to improve accuracy by 15–20% over traditional methods like Chain Ladder.

An insurance claims adjuster describes how auto lenders are deploying AI bots to dispute total loss vehicle valuations using inaccurate data, wasting adjusters' time and making it difficult to reach human representatives. The post seeks advice on bypassing these AI systems to speak with a live person.

YC believes the biggest companies of the next decade will be service companies rebuilt with AI (e.g., insurance, law firms, accounting firms), and points out that unstable delivery quality is more deadly than having no customers.

Travelers deployed an AI Claim Assistant powered by OpenAI's Realtime API nationwide, achieving 85-90% customer completion of claims through AI.

Modern cars collect extensive personal data, including location, weight, and facial expressions, which insurance companies use to adjust premiums. Upcoming US laws requiring biometric cameras will expand data collection with no limits on usage.

Iran launches a Bitcoin-backed ship insurance program for vessels traveling through the Strait of Hormuz, aiming to circumvent international sanctions and provide coverage using cryptocurrency reserves.

This paper introduces SwiGAN, a Conditional GAN-based framework for generating future spatio-temporal trajectories of climatic indices to assist in drought risk management and insurance strategy.

SecureLend Agents is a new product launching AI-driven underwriting agents designed for venture capitalists, lenders, and insurers to automate risk assessment.

Travelers Insurance has partnered with OpenAI to deploy an AI-powered claims assistant nationwide, used in the first notice of loss process. Customer completion rates range from 80 to 90 percent, and reliability is ensured via multi-agent collaboration and an LLM judge.