NEW YORK, June 2, 2026 /PRNewswire/ — Lockton, the world’s largest privately held insurance brokerage, and Nexar, the real-world intelligence platform for the Physical AI era, today introduced a human-benchmark framework for evaluating autonomous vehicle (AV) safety against real-world human driving behavior. The framework addresses a longstanding gap in the AV ecosystem: the absence of an independent, widely recognized standard for measuring AV safety relative to how humans actually drive.
Nexar turns cars into vision sensors to understand the world. Its platform powers vision-connected services and apps at scale, making new vision-based applications for better driving powered by a crowd-sourced vision feed. More information at https://www.nexar-ai.com/. (PRNewsfoto/Nexar)
Why a Human Benchmark Matters
Without a standardized benchmark, insurers, regulators, and AV companies face structural challenges. Insurers struggle to differentiate risk across AV systems, leading to blunt underwriting approaches or restrictions on capacity. Regulators lack a consistent reference for assessing safety claims. AV developers have no third-party-validated way to demonstrate performance against the standard the public most readily understands.
“For autonomous vehicles to scale, safety has to be measured against a credible, independent benchmark built on real-world driving. This framework provides that benchmark,” said Preet Gill, EVP and Leader of Lockton’s Global Technology Risk Practice. “As autonomy is adopted across logistics, mobility, and commercial fleets, even insurers who don’t directly underwrite AVs will carry exposure, and our role is to help evaluate that risk before it becomes systemic.”
An Independent Framework, Built on Real-World Ground Truth
The framework brings together Lockton’s risk management and insurance expertise and Nexar’s real-world driving intelligence to answer a fundamental question: does an AV system perform at, above, or below human-level safety in comparable conditions?
It is designed as an open, evolving reference rather than a proprietary rating and is built to serve the three constituencies that need a credible answer to that question: insurers structuring coverage, regulators evaluating safety claims, and AV developers seeking third-party-validated ways to demonstrate performance.
“For the first time, AV systems can be benchmarked against a standard that wasn’t built by anyone with a stake in the outcome,” said Jon Miller, Chief Business Officer at Nexar. “That is what credible verification requires, and it is what this framework makes possible.”
The Data Foundation
The framework is powered by BADAS 2.0, Nexar’s collision anticipation model family. Trained entirely on real-world driving, 10 billion miles and 60 million safety-critical events, with no synthetic data, BADAS 2.0 achieves 99.4% average precision and ranks #1 on all four major industry benchmarks. Nexar’s network of 350,000 cameras across 94% of U.S. roads provides the scale required to establish the human baseline.



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