AI Failure Index

AI Algorithmic Decision failures

Scoring and eligibility models that decide who gets credit, benefits, bail, or a job. Failures deny at scale and hide behind the score.

Incidents
70
Highest severity
Catastrophic
Sources cited
182
Newest indexed
Jul 10, 2026

Open all 70 in the research console

FI-0703SaaSHigh
Brand & Safety Incident

Discord's AI moderation wrongly banned more than 8,000 users after a bug skipped human review

Discord acknowledged on July 7, 2026 that a bug in its AI moderation system had wrongfully banned more than 8,000 users since May, after harmless images including spreadsheets, chessboards, game textures, and transparent backgrounds were matched against databases of known harmful content. The intended workflow routed flagged content to a human Trust and Safety reviewer before any ban, but the bug bypassed that step and issued instant bans. Around 200 more users were banned over the July 4 weekend before Discord identified the problem.

Confidence
Medium (multi-source)
Discord2 sourcesPressPublicJul 2026
FI-0575HealthcareHigh
Brand & Safety Incident

Social Health Authority AI premiums overcharge poorest Kenyans

Kenya's Social Health Authority deployed an AI-driven predictive model to set health insurance premiums based on income. An investigation found the system systematically overcharged the poorest citizens, effectively denying them access to healthcare.

Confidence
Medium (multi-source)
Social Health Authority3 sourcesPressPublicMay 2026
FI-0314Public SectorHigh
Policy Violation

Dutch Probation Service suspends OXREC risk algorithm over discrimination findings

The Dutch Probation Service halted the OXREC AI tool after an official investigation revealed a 20% error rate and biased risk assessments, caused by outdated Swedish data and swapped formulas.

Confidence
Medium (multi-source)
Dutch Probation Service (Reclassering Nederland)3 sourcesReader-SubmittedPublicFeb 2026
FI-0419HealthcareMedium
Agentic Action Error

ICE AI resume screening error routes recruits to inadequate training

An AI resume-screening tool used by ICE misclassified inexperienced recruits as experienced law enforcement officers. This resulted in approximately 200 hires receiving inadequate online training instead of the required in-person academy course.

Confidence
Medium (multi-source)
U.S. Immigration and Customs Enforcement (ICE)2 sourcesPressPublicJan 2026
FI-0478SaaSLow
Identity & Access Drift

Indore play school owner defrauded by AI voice cloning

A play school owner in Indore, India, was defrauded of approximately ₹97,500 using an AI-cloned voice of a relative. The scammer impersonated the victim's cousin to simulate an emergency and solicit funds.

Confidence
Medium (multi-source)
Local play school (Indore, India)3 sourcesPressPublicJan 2026
FI-0344Retail & E-commerceMedium
Policy Violation

Instacart AI pricing tests showed shoppers different prices for identical grocery items

A December 2025 study by Consumer Reports, Groundwork Collaborative and More Perfect Union found that Instacart ran AI-driven pricing experiments that resulted in different shoppers seeing different prices for the same items, with some differences reported up to 23%. After public reporting and regulatory questions, Instacart said it would end item price tests on its platform on December 22, 2025. The company had acquired Eversight, an AI pricing and promotions platform, in 2022 and said retailers control prices listed on the app.

Confidence
Medium (multi-source)
Instacart3 sourcesPressPublicDec 2025
FI-0376Public SectorHigh
Agentic Action Error

Thailand freezes 3 million bank accounts in automated anti scam crackdown

The Bank of Thailand froze approximately 3 million bank accounts to combat fraud and mule accounts. The sweeping action resulted in widespread false positives, locking innocent users out of their funds.

Confidence
Medium (multi-source)
Bank of Thailand2 sourcesPressPublicSep 2025
FI-0466HealthcareHigh
Agentic Action Error

Brazil AI welfare app wrongly rejects benefit claims

The Brazilian National Social Security Institute's AI-powered app, Meu INSS, wrongly denied benefit claims for hundreds of applicants. The system struggled with complex cases and rural users with low digital literacy, leading to a loss of essential income.

Confidence
High (multi-source, primary)
National Social Security Institute (INSS)3 sourcesPrimaryPublicApr 2025
FI-0537Public SectorHigh
Policy Violation

DWP AI fraud detection system found to be biased against vulnerable groups

An AI system used by the UK's Department for Work and Pensions to detect fraud in Universal Credit advance claims was found to be biased. An internal fairness analysis revealed that the system disproportionately flagged certain demographic groups for investigation.

Confidence
Medium (multi-source)
Department for Work and Pensions3 sourcesPressPublicDec 2024
FI-0453Public SectorHigh
Policy Violation

Sweden fraud-prediction algorithm found to discriminate against women

Investigative reporting and an Amnesty International statement published on 2024-11-27 found that a fraud risk‑scoring algorithm used by Sweden's Social Insurance Agency produced disproportionate harms to women and other groups. Amnesty called the system discriminatory and urged authorities to discontinue its use. The reporting describes unequal precision and group disparities in the model's risk scores.

Confidence
Medium (multi-source)
Försäkringskassan (Swedish Social Insurance Agency)3 sourcesPressPublicNov 2024
FI-0435Public SectorHigh
Policy Violation

Home Office AI enforcement tool criticised as rubberstamping immigration decisions

A UK Home Office system called Identify and Prioritise Immigration Cases (IPIC) was criticised by rights groups and privacy researchers in November 2024 as opaque and likely to produce 'rubberstamped' enforcement outcomes. Privacy International obtained redacted manuals and assessments via freedom of information requests that, critics say, show the tool combines sensitive personal data to prioritise cases. Critics warned the system risks bias and poor human oversight in immigration enforcement.

Confidence
High (multi-source, primary)
Home Office3 sourcesPrimaryPublicNov 2024
FI-0342Retail & E-commerceHigh
Policy Violation

Ticketmaster alleged dynamic pricing caused large Oasis ticket price jumps in 2024

Public complaints after the Oasis ticket sale in September 2024 led the CMA to open an investigation into Ticketmaster’s use of dynamic and tiered pricing and the transparency of price information provided during online queues. The DOJ’s May 2024 antitrust complaint against Live Nation and Ticketmaster raised broader competition concerns. The CMA later secured undertakings from Ticketmaster to improve disclosures while noting it had not found evidence that algorithmic dynamic pricing was used in that specific sale.

Confidence
High (multi-source, primary)
Ticketmaster4 sourcesPrimaryPublicSep 2024
FI-0640Cross-industryMedium
Brand & Safety Incident

Meta AI mislabels Auschwitz Museum posts as bullying and nudity

Meta's AI content moderation system erroneously flagged 21 historical posts from the Auschwitz Memorial Museum as violating rules against nudity and bullying. The incident sparked condemnation from the Polish government and the museum, which described the error as an algorithmic erasure of history.

Confidence
Medium (multi-source)
Meta2 sourcesPressPublicApr 2024
FI-0440SaaSLow
Policy Violation

Amazon France fined 32 million euros for intrusive employee monitoring

The French regulator CNIL fined Amazon France Logistique €32 million for excessive monitoring of warehouse employees. The system tracked worker interruptions too precisely, violating GDPR data minimization principles.

Confidence
High (multi-source, primary)
Amazon France Logistique2 sourcesPrimaryPublicJan 2024
FI-0315Public SectorCatastrophic
Policy Violation

Dutch tax agency fraud algorithm discriminated against dual nationals

A systemic failure in the Dutch tax authority's fraud-detection algorithms led to discriminatory targeting of dual nationals, causing thousands of families to be wrongly accused and face financial hardship; the event attracted regulatory scrutiny and political repercussions in 2024. The AP AI & Algorithmic Risks Report formally acknowledges systemic AI risks linked to this case.

Confidence
High (multi-source, primary)
Dutch Tax and Customs Administration (Belastingdienst)3 sourcesPrimaryPublicJan 2024
FI-0680Retail BankingHigh
Policy Violation

Navy Federal Credit Union facing allegations of racial bias in automated mortgage underwriting

Navy Federal Credit Union faces a class action lawsuit alleging systemic racial discrimination in mortgage lending. The lawsuit claims a semi-automated underwriting algorithm led to denial rates of 52% for Black and 44% for Latino borrowers, compared to 23% for white applicants.

Confidence
Medium (multi-source)
Navy Federal Credit Union3 sourcesPressPublicDec 2023
FI-0193Public SectorMedium
Hallucination

Plainfield Police Department predictive policing software fails to predict crimes

The Markup and Wired reported that Geolitica's predictive policing software for Plainfield PD produced thousands of predictions with a success rate under 1 percent across 23,631 predictions, and the department stopped using it.

Confidence
Medium (multi-source)
Geolitica2 sourcesPressPublicOct 2023
FI-0339SaaSHigh
Policy Violation

RealPage sued by DOJ for using algorithmic pricing to coordinate rent increases

The U.S. Department of Justice filed a civil antitrust lawsuit against RealPage for allegedly using its algorithmic pricing software to facilitate rent collusion among landlords. The government claimed the software allowed landlords to coordinate price increases by sharing competitively sensitive data.

Confidence
High (multi-source, primary)
RealPage3 sourcesPrimaryPublicAug 2023
FI-0700Public SectorHigh
Brand & Safety Incident

Gaggle surveillance alert leads to arrest and detention of 13-year-old student

A 13-year-old student at Fairview Middle School in Tennessee was arrested and detained overnight after Gaggle AI surveillance software flagged a comment in her school email chat. The incident, which occurred in August 2023, was later identified as a false alarm.

Confidence
Medium (multi-source)
Gaggle3 sourcesPressPublicAug 2023
FI-0341Retail & E-commerceMedium
Policy Violation

DoorDash faces FTC scrutiny over algorithmic fees and pricing transparency

The Federal Trade Commission investigated DoorDash regarding the use of deceptive and unfair fees in its delivery services. The inquiry focused on pricing transparency and the impact of algorithmic fees on consumers.

Confidence
High (multi-source, primary)
DoorDash2 sourcesCourt FilingPublicJun 2023
FI-0497Public SectorHigh
Agentic Action Error

Italian Ministry of Education GPS algorithm mis-ranks thousands of teachers

The Italian Ministry of Education's GPS automated allocation system for short-term teachers suffered a critical logic failure. Thousands of eligible teachers were wrongly excluded from assignments, resulting in lost income and numerous lawsuits.

Confidence
Medium (multi-source)
Italian Ministry of Education2 sourcesPressPublicApr 2023
FI-0247Public SectorHigh
Policy Violation

Rotterdam welfare fraud model used discriminatory data and performed poorly

A Rotterdam welfare fraud model allegedly used discriminatory data and performed no better than random; two independent outlets describe bias and limited usefulness of the system.

Confidence
Medium (multi-source)
City of Rotterdam2 sourcesPressPublicMar 2023
FI-0399Public SectorHigh
Policy Violation

Los Angeles scoring system ranks Black and Latino unhoused people lower for subsidized housing

Investigations by The Markup and the Los Angeles Times reported that a scoring system used to prioritize unhoused people for subsidized permanent housing in Los Angeles produced consistently lower priority scores for Black and Latino people. The reporting analysed intake assessment records and found these disparities persisted year after year, making Black and Latino people less likely to receive permanent housing. Subsequent reporting says the city and local agencies moved to change how vulnerability is scored.

Confidence
Medium (multi-source)
City of Los Angeles; Los Angeles Homeless Services Authority (LAHSA)3 sourcesPressPublicFeb 2023
FI-0333Public SectorHigh
Policy Violation

Palantir Gotham software in Hesse ruled unconstitutional

The German Federal Constitutional Court ruled in February 2023 that Palantir's Gotham software used by the Hesse State Police violated privacy rights. The court suspended mass data analysis due to insufficient legal safeguards.

Confidence
High (multi-source, primary)
Palantir2 sourcesCourt FilingPublicFeb 2023
FI-0410Travel & HospitalityHigh
Agentic Action Error

Southwest Airlines crew-scheduling solver failures cripple holiday flight network

Between December 26-28, 2022 Southwest experienced a large operational collapse where severe weather and failures in crew-scheduling and recovery processes produced widespread cancellations and passenger disruptions. News investigations described the airline’s crew-scheduling solver as unable to restore the network at scale, forcing manual interventions. The U.S. Department of Transportation later assessed penalties and mandated large passenger reimbursements tied to the incident.

Confidence
High (multi-source, primary)
Southwest Airlines4 sourcesPrimaryPublicDec 2022
FI-0455Public SectorHigh
Hallucination

VioGén risk-assessment used by Spanish National Police misclassified victims

An academic review and investigative reporting documented transparency, accuracy, and governance problems with VioGén, the Spanish police risk-assessment tool overseen by the Interior Ministry. Reporting and analyses found that the system classified many cases as negligible or low risk and that some victims later suffered repeat attacks or were killed, prompting rights and oversight concerns.

Confidence
High (multi-source, primary)
Spanish National Police (Ministry of the Interior)2 sourcesPrimaryPublicNov 2022
FI-0691Public SectorHigh
Brand & Safety Incident

Toronto Public Health AI water quality model produces false negatives for beach closures

Toronto Public Health deployed an AI predictive model to forecast water quality at two beaches in 2022. The system produced numerous false negatives, allowing contaminated waters to remain open to the public.

Confidence
High (multi-source, primary)
Toronto Public Health3 sourcesPrimaryPublicJul 2022
FI-0458SaaSMedium
Policy Violation

IRCC automated triage pilot flagged for wrongful processing in academic study

IRCC's TRV eApps Advanced Analytics Pilot used AI to triage visa applications. An academic assessment in 2022 found the system lacked accountability and risked wrongful triage.

Confidence
Medium (multi-source)
Immigration, Refugees and Citizenship Canada (IRCC)2 sourcesPressPublicJul 2022
FI-0337Fintech & PaymentsHigh
Policy Violation

Upstart credit models challenged for disparate impact on minority borrowers

The CFPB revoked a regulatory exemption for Upstart in June 2022 after its AI credit models were challenged for disparate impact on minority borrowers. The controversy centered on the use of educational data in the automated underwriting system.

Confidence
High (multi-source, primary)
Upstart2 sourcesPrimaryPublicJun 2022
FI-0539Public SectorHigh
Policy Violation

DWP disability benefits fraud algorithm criticized for lack of transparency

The UK Department for Work and Pensions faced legal challenges over its General Matching Service algorithm used to detect benefit fraud. Critics and disabled people's rights groups alleged the system was unfair and lacked transparency.

Confidence
Medium (multi-source)
UK Department for Work and Pensions2 sourcesPressPublicFeb 2022

View all 70 in the research console