AI Incident Database
Browse AI incidents
Every incident record (metadata only) from the weekly snapshot of 2026-09-07. Filter, then export the selection with its licence attached; each row links to the full record and its reports.
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Uber Launched Opaque Algorithm That Changes Drivers' Payments in the US AIID ↗
Uber launched a new but opaque algorithm to determine drivers' pay in the US which allegedly caused drivers to experience lower fares, confusing fare drops, and a decrease in rides.
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Israeli Tax Authority Reportedly Used an Opaque Automated System to Issue a Fine, Declining to Explain or Disclose the Underlying Calculation AIID ↗
An Israeli farmer, Moshe Har Shemesh, reportedly received a fine generated by a Tax Authority software system whose calculation officials were allegedly unable to explain. When the farmer reportedly sought access to the program or its source code to understand the basis for the amount, the authority allegedly refused, citing security concerns and the difficulty of extracting the embedded guidelines. The dispute reportedly later moved into legal proceedings focused on whether code and automated d
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Uber Allegedly Wrongfully Accused Drivers of Fraud via Automated Systems AIID ↗
Uber was alleged in a lawsuit to have wrongfully accused its drivers in the UK and Portugal of fraudulent activity through automated systems, which resulted in their dismissal without a right to appeal.
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Houston ISD's EVAAS Teacher-Evaluation System Reportedly Put Teachers' Jobs at Risk Through Unverifiable Scores AIID ↗
From 2011 to 2015, Houston Independent School District used SAS Institute’s Education Value-Added Assessment System (EVAAS) to rate teacher effectiveness from student test-score growth. Teachers alleged that proprietary, unverifiable EVAAS scores contributed to terminations and contract nonrenewals. On May 4, 2017, a federal judge allowed due-process claims over the system to proceed.
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Dutch City Court Defended Home Value Generated by Black-Box Algorithm AIID ↗
A home value generated by a black-box algorithm was reportedly defended by the Castricum court, which was criticized by a legal specialist for setting a dangerous precedent for accepting black-box algorithms as long as their results appear reasonable.
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.