# How can organizations ensure technical screening fairness and avoid protected class discrimination before committing to a multi-year platform contract?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A multi-year contract is exactly the wrong time to discover a platform's fairness claims don't hold up, since by then the assessment history, and any discriminatory pattern baked into it, is already part of your hiring record. Getting this right upfront inside <a class="a a--md" elv="true" href="https://www.g2.com/categories/technical-skills-screening">technical skills screening</a> means asking for evidence, not assurances.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>What actually needs verifying before signing:</strong></p><ul>
<li>Whether the vendor tracks adverse impact at every cut score your organization will actually use, not just in aggregate</li>
<li>Whether an independent audit exists, and whether it covered your specific use case or a generic one</li>
<li>Whether the vendor has a documented history of removing or changing a feature after bias concerns, which signals accountability rather than denial</li>
<li>Whether integrity/proctoring signals route to human review or auto-reject, since auto-rejection compounds any bias in the underlying signal</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>What the evidence actually shows:</strong></p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/codility/reviews"><strong>Codility</strong></a><strong>:</strong> The strongest documented answer to this exact question, adverse impact data at every cut score, an EEOC four-fifths threshold met at each one, an independent cApStAn linguistic fairness audit, WCAG 2.2 AA accessibility, and an explicit policy that no AI is used to make automated hiring decisions, integrity signals go to a human reviewer instead.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/hirevue/reviews"><strong>HireVue</strong></a><strong>:</strong> The most instructive cautionary case, it discontinued facial analysis in 2021 specifically because independent audits and an FTC complaint from EPIC raised real discrimination concerns, and it now operates under legally mandated bias audits in jurisdictions like New York City. That history is double-edged for a multi-year buyer, it shows the vendor responded to scrutiny, but also that the original product needed correcting after real candidates were already affected.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A vendor that already had to walk back a feature after bias findings has, in one sense, been tested in a way a newer vendor hasn't. Would you rather sign with a vendor whose fairness claims are unproven, or one that's already had a public correction on record?</p>

##### Post Metadata
- Posted at: 25 days ago
- Author title: Writer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;The auto-reject question would be my deal-breaker. A screening tool can flag suspicious behavior or questionable results, but I wouldn’t want that signal making the hiring decision on its own. Codility routing integrity flags to a human reviewer is the kind of safeguard I’d want written into the evaluation criteria before signing.&lt;/p&gt;

##### Comment Metadata
- Posted at: 24 days ago





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