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When an algorithm denies someone's benefits, due process still applies. AVAAS certifies the algorithm.

Government increasingly decides eligibility, benefit amounts, and fraud through automated systems. When those systems are wrong, people lose food assistance, healthcare, or unemployment support they are entitled to. AVAAS certifies the system at the point it decides for a claimant.

Due processOMB M-25-21EU AI Act high-riskState benefits law
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Where AI acts on a person

The decision point in public benefits

In government, the AI acts when it determines eligibility, calculates a benefit, or flags a claimant for fraud. A wrong automated decision can cut off food, healthcare, or income.

When an automated system denies a benefit, due process still applies, and the agency has to explain and defend the decision the algorithm made.

What keeps you exposed

What keeps agencies exposed

Due process

A system denies benefits without a real explanation

Constitutional due process does not pause for automation. An unexplained denial is a legal liability and a human harm.

Error at scale

One model error multiplies across a population

An automated system applies the same flaw to everyone it touches, turning a single defect into thousands of wrongful decisions.

Federal AI duties

Rights-affecting AI now carries testing mandates

OMB M-25-21 directs agencies to test and manage high-impact, rights-affecting AI, and to hold contractors to it.

This is already happening
85%+
Michigan's MiDAS system wrongly accused tens of thousands of people of unemployment fraud, with an error rate above 85 percent when it adjudicated by algorithm alone.
Michigan MiDAS · Bauserman v. UIA, Mich. Supreme Court
How AVAAS adds value

Evidence the system meets due process

Can a denial be explained to the person and a court?

AVAAS evaluates whether the system produces specific, accurate reasons rather than an opaque determination.

Does the model produce disparate or systemic error?

Five structurally independent validators test for demographic disparity and failure patterns using causal attribution.

Does it satisfy federal testing expectations?

AVAAS produces documented, third-party evidence aligned to the testing OMB now expects for rights-affecting AI.

You get documented, third-party evidence that an automated eligibility or fraud system meets the due-process duties the public sector cannot delegate to a model.

Related AVAAS coverage: EU AI Act · California ADMT · GDPR Article 22. Or run the free Regulation Checker to see what applies to you.

See where your public-sector AI creates liability.

Tell us where automated systems decide eligibility, benefits, or fraud, and we will scope an AVAAS certification to the due-process exposure.

Ready to start now? Certify Your AI →  or  email [email protected]