Lockton and Nexar Introduce Human-Benchmark Framework for Autonomous Vehicle Safety
An independent reference for evaluating AV safety against real-world human driving designed for insurers, regulators, and AV developers
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
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
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
Initial Framework Components
The framework includes two initial Nexar capabilities supporting risk-based evaluation:
- Nexar Risk Index — an environmental risk assessment that evaluates the operating domain of an AV based on geography, conditions, and driving context, establishing contextual risk before system comparison.
- Nexar Apex — a submission platform that allows AV companies to verify their systems against curated real-world edge cases specific to their operating environments, with results indicating performance relative to the human driving baseline.
Built on Established Practice
Nexar data has already been used by leading AV developers to support published safety cases and peer-reviewed research. This framework formalizes approaches already in use at the highest levels of industry scrutiny, with Lockton's risk governance and Nexar's data infrastructure together extending those practices to the broader market.
About Lockton
What makes Lockton stand apart is also what makes us better: independence. Lockton's private ownership empowers its 13,000+ Associates doing business in more than 160+ countries to focus solely on clients' risk and insurance needs. With expertise that reaches around the globe, Lockton delivers the deep understanding needed to accomplish remarkable results.
Lockton's Global Technology Risk Practice is the preeminent team in the insurance industry dedicated to managing the evolving risks faced by technology mobility companies. The specialized team of over 40 professionals, including brokers, advisors, actuaries, attorneys, and claims advocates, is focused on delivering innovative risk management and insurance solutions, backed by unmatched customer services. For more information, visit www.lockton.com.
About Nexar
Nexar is the real-world intelligence platform for the Physical AI era — the independent verification infrastructure behind every machine that claims to know the road. A network of 350,000 cameras captures 100 million miles of real driving every month, producing the world's largest classified archive of naturalistic safety-critical events: 60 million edge-case videos, 10 billion miles of ground truth, 45 petabytes of verified road intelligence covering 94% of US roads.
BADAS 2.0, Nexar's incident prediction model family, achieves 99.4% Average Precision — #1 on all four major benchmarks. The platform serves Waymo, Lyft, IBM, NVIDIA, and government infrastructure clients simultaneously because Nexar competes with none of them. Independence is not a differentiator. It is the product.
Verifying AI. nexar.ai
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SOURCE Nexar
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