Overview
Warden Assured operationalizes AI regulations and civil rights laws for AI systems used in HR and talent.
It is comprised of a set of technical AI assurance measures that mitigate AI risks, provides confidence to buyers and users, and supports defensibility when challenged.
AI systems that are Warden Assured can be identified by our trust mark, their Warden-powered AI Assurance Dashboard, and are listed in the Warden Assured Directory.
Why it matters
AI is reshaping how people are hired, promoted, and managed.
Third-party oversight is needed to reduce risk and bring trust to these high-risk systems.
Definition
AI systems that are Warden Assured have third-party oversight delivered through the Warden assurance platform, which applies technical assurance measures to monitor system behavior.
Independent oversight of AI behavior to avoid conflicts of interest and catch issues the system owner may overlook.
Bias checks using two complementary techniques to assess equality of outcome and equal treatment across groups.
Regular technical audits to detect changes in system behavior and maintain assurance as they evolve over time.
Mapping system behaviour to employment AI regulations to meet legal expectations and support defensible deployment.
Evaluation against external datasets and baselines to reduce bias, increase reliability, and avoid tampered test data.
Publishing audit results on public trust pages so stakeholders can review evidence and understand system behaviour.
Compliance mapping
Warden operationalizes regulatory and legal requirements for AI in HR, from civil rights laws to the latest AI regulations.
Covers 18 protected characteristics, with frequent, high-quality bias audits encouraged to reduce discrimination risk in employment decisions.
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Requires mandatory third-party bias audits for sex, race, and intersectional groups, along with public reporting of results for AEDTs.
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Covers 12 protected characteristics and requires transparency and mitigation of algorithmic discrimination in high-risk employment AI systems.
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Applies pre-deployment testing and post-deployment monitoring to high-risk HR AI systems, including bias evaluation across protected characteristics.
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