Service
Using the UL Solutions AI Model Transparency Benchmark, we verify marketing claims so that manufacturers can offer substantiated statements about areas such as model development, security and more.
Artificial intelligence is becoming an increasingly critical component of global innovation — 78% of organizations surveyed said they used AI in at least one business function in 2025, a 42% increase from just two years earlier.[1]
However, this rapid adoption is met with caution — only 46% of people actually trust AI,[2] and concerns about data privacy, transparency and accuracy remain prevalent.
Given these numbers, the need for ethical, explainable AI is clear. As AI grows, it’s crucial that its results are connected to the quality of the data, the model’s design and user inputs — underscoring the relevance of responsible development and deployment.
Understanding the importance of this work, UL Solutions incorporates 11 safety principles into our AI verification. Our transparency benchmarking program spans the technical, ethical and governance pillars, because they collectively address how AI systems function (technical pillar), the fairness and integrity of their decisions (ethical pillar) and the accountability structures necessary to manage and mitigate risks (governance pillar).
Providing a claim about the transparency of its AI model that has been verified by independent review can help companies increase consumer trust and differentiate themselves in the market.
This verification comes via UL Solutions, a global safety science leader that offers robust expertise and third-party assessments and insights. You can leverage our 10+ years of experience in the AI space and trusted reputation for scientific rigor to help you strengthen the selling points of your new products and systems.
AI model transparency is the way we understand how AI systems make decisions, why they produce specific results and what data they are using. A transparency assessment determines how well a software builder documents and communicates their design intent.
To examine key areas such as data management, model development, security, deployment and ethical considerations, the benchmark provides an objective rating of an AI model’s transparency and trustworthiness.
Our experts perform science-based assessments and review documentation for best practices as we analyze a company’s AI statements.
Artificial intelligence is becoming an increasingly critical component of global innovation — 78% of organizations surveyed said they used AI in at least one business function in 2025, a 42% increase from just two years earlier.[1]
However, this rapid adoption is met with caution — only 46% of people actually trust AI,[2] and concerns about data privacy, transparency and accuracy remain prevalent.
Given these numbers, the need for ethical, explainable AI is clear. As AI grows, it’s crucial that its results are connected to the quality of the data, the model’s design and user inputs — underscoring the relevance of responsible development and deployment.
Understanding the importance of this work, UL Solutions incorporates 11 safety principles into our AI verification. Our transparency benchmarking program spans the technical, ethical and governance pillars, because they collectively address how AI systems function (technical pillar), the fairness and integrity of their decisions (ethical pillar) and the accountability structures necessary to manage and mitigate risks (governance pillar).
Providing a claim about the transparency of its AI model that has been verified by independent review can help companies increase consumer trust and differentiate themselves in the market.
This verification comes via UL Solutions, a global safety science leader that offers robust expertise and third-party assessments and insights. You can leverage our 10+ years of experience in the AI space and trusted reputation for scientific rigor to help you strengthen the selling points of your new products and systems.
AI model transparency is the way we understand how AI systems make decisions, why they produce specific results and what data they are using. A transparency assessment determines how well a software builder documents and communicates their design intent.
To examine key areas such as data management, model development, security, deployment and ethical considerations, the benchmark provides an objective rating of an AI model’s transparency and trustworthiness.
Our experts perform science-based assessments and review documentation for best practices as we analyze a company’s AI statements.
We conduct our testing based on our 11 safety principles, using a 100-point scoring scheme to determine the degree of model transparency. This assessment primarily focuses on AI dataset disclosure and description, the overall architecture of the AI system and user consent description.
If a claim meets these requirements, it can display a UL Verified Mark for AI Model Transparency, and — depending on its score — the recipient can receive a rating from Silver to Diamond for achieving a score above 50.
Marketing claim verification can help build consumer trust in AI-enabled products. Recently, Lenovo became the first AI PC manufacturer to earn an AI Model Transparency Diamond rating through the UL Marketing Claim Verification program.
Leverage our 10+ years of experience in the AI space and trusted reputation for scientific rigor to help you strengthen the selling points of your new products and systems.
