The impacts
The impact model being built under PLAN.md §14: one proposal per measured effect of a learned system on people — who, how many, how big, dated, with the source and a quote from it — and one line per ruling on it, kept forever in order. The level on the front page reads from these since the night of 2026-09-06: each entry with a severity ruling and a people count bands to a rung through the band table, and the rule in SCALE.md reads the level from them. The rung column shows what the table makes of each entry, or a dash with the reason it cannot band. Any entry can be re-examined when new data turns up. Candidates a researcher looked at and set aside are here too, with the reason, so a lookup answers whether something was considered.
399 proposals: 124 not-found, 123 validated, 72 reject-definition, 60 exclude-attribution, 16 unverified, 4 quote not found. Statuses: validated — the source was refetched by code and the quote is on it; quote not found — refetched, quote absent, to be re-examined; unverified — the source refused the fetch (a bot wall, usually); reject-definition, exclude-attribution, not-found — the researcher's own ruling on a candidate it set aside; struck — the owner. Every status is a line in impacts/rulings.jsonl; so is every severity ruling and every remedy.
| id | name | region | domain | side | from | people | rung | status |
|---|---|---|---|---|---|---|---|---|
| p2026-09-06-001 | entryLearned credit scorecards (Fair Isaac / FICO Score) | US | agency | loss | 1989 | 190,000,000 | −2 S1·R5 | validated |
| p2026-09-06-002 | entryLearned credit scorecards (Fair Isaac / FICO Score) | US | access | benefit | 1958 | 225,000,000 | +2 S1·R5 | validated |
| p2026-09-06-003 | entryLearned credit scorecards (Fair Isaac / FICO Score) | US | access | loss | 1989 | 35,000,000 | −1 S1·R4 | validated |
| p2026-09-06-004 | remedyFair Credit Reporting Act 1970 — right to see one's file and dispute its contents (15 U.S.C. 1681g, 1681i) | US | remedy | 1971-04-25 | 8,000,000 | validated | ||
| p2026-09-06-005 | remedyFCRA reinvestigation right, measured by the FTC's national credit report accuracy study | US | remedy | 2012-12 | 1,001 | validated | ||
| p2026-09-06-006 | entryIRS Discriminant Function (DIF) audit selection | US | agency | loss | 1975 | 358,804 | −1 S1·R2 | unverified |
| p2026-09-06-007 | entryAT&T Voice Recognition Call Processing (HMM/word-spotting speech recognition) | US | work | loss | 1992 | 18,000 | −2 S2·R1 | validated |
| p2026-09-06-008 | entryAT&T Voice Recognition Call Processing (HMM/word-spotting speech recognition) | US | access | benefit | 1992 | 1,200,000,000 | — | validated |
| p2026-09-06-009 | entryUSPS handwritten address recognition (learned word recognisers, CEDAR/SUNY Buffalo) | US | work | loss | 1997 | 32,000 | −2 S2·R1 | unverified |
| p2026-09-06-010 | entryUSPS handwritten address recognition (learned word recognisers, CEDAR/SUNY Buffalo) | US | access | benefit | 1997 | 25,000,000,000 | — | unverified |
| p2026-09-06-011 | entryConvNet bank cheque reading (LeCun et al., AT&T Bell Labs; deployed by NCR) | US | work | benefit | 1993 | 10 | — | validated |
| p2026-09-06-012 | entryCredit-based insurance scores (auto insurance) | US | access | loss | 1993 | 1,400,000 | −1 S1·R3 | validated |
| p2026-09-06-013 | candidateFair Isaac's era scale (1958–1989) | NOT FOUND | not-found | |||||
| p2026-09-06-014 | candidateEqual Credit Opportunity Act 1974 | NOT FOUND | not-found | |||||
| p2026-09-06-015 | candidateHMM speech recognition deployed to the public before 1990 | NOT FOUND | not-found | |||||
| p2026-09-06-016 | candidateHNC Falcon (1992) | NOT FOUND | not-found | |||||
| p2026-09-06-017 | candidateA count of cheques or people for the ConvNet cheque reader | NOT FOUND | not-found | |||||
| p2026-09-06-018 | candidateA government source for the USPS handwriting-recognition job effect | NOT FOUND | not-found | |||||
| p2026-09-06-019 | candidateLearned insurance underwriting inside 1930–1989 | NOT FOUND | not-found | |||||
| p2026-09-06-020 | candidateThe FTC's 59%/41% premium split is a predicted redistribution | NOT FOUND | not-found | |||||
| p2026-09-06-021 | candidateXCON/R1 at DEC | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-022 | candidateMYCIN (Stanford, 1972–80) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-023 | candidateSYSTRAN rule-based MT (from 1968) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-024 | candidateThe Bombe and Colossus | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-025 | candidateWiener's anti-aircraft predictor (NDRC Section D-2, 1940–43) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-026 | candidateKalman filter in Apollo | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-027 | candidateELIZA (1966) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-028 | candidatePerceptron Mark I (1958) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-029 | candidateSabre (1960–64) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-030 | candidateThe long decline of telephone operators, from several hundred thousand in the 1950s to a few tens of thousands | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-031 | candidateUSPS clerk and mail-handler employment decline through the 1980s | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-032 | candidateBank back-office and cheque-processing employment | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-033 | candidateThe growth of consumer credit and credit cards 1958–1989 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-034 | candidateManufacturing employment losses to NC/CNC machine tools and industrial robots (1960s–80s) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-035 | entryHNC/FICO Falcon payment-card fraud detection | world | safety | benefit | 1992 | 2,500,000,000 | +2 S1·R6 | validated |
| p2026-09-06-036 | entryAutomated payment-card fraud scoring (issuer authorisation screening) | US | access | loss | 2014 | 33,000,000 | −1 S1·R4 | validated |
| p2026-09-06-037 | entryLearned email spam filtering (Gmail) | world | access | benefit | 2004 | 1,500,000,000 | +2 S1·R6 | validated |
| p2026-09-06-038 | entryComputer-aided detection in screening mammography | US | health | loss | 1998 | 323,973 | — | validated |
| p2026-09-06-039 | entryComputer-aided detection in screening mammography | US | health | loss | 1998 | 429,345 | — | validated |
| p2026-09-06-040 | entryComputer-aided detection in screening mammography | US | access | loss | 2002 | 323,973 | −1 S1·R2 | validated |
| p2026-09-06-041 | entryUSPS Remote Computer Reader / OCR handwritten address recognition | US | work | loss | 1999 | 30,200 | −2 S2·R1 | validated |
| p2026-09-06-042 | entryNetflix recommender system | world | knowledge | benefit | 2007 | 65,000,000 | +1 S1·R4 | validated |
| p2026-09-06-043 | entryETAS predictive policing (PredPol) | US | safety | benefit | 2011 | 3 | — | validated |
| p2026-09-06-044 | entryGoogle Translate (statistical machine translation) | world | knowledge | benefit | 2006-04 | 500,000,000 | +2 S1·R5 | validated |
| p2026-09-06-045 | candidateeBay machine translation export study (Brynjolfsson/Hui/Liu) | NOT FOUND | not-found | |||||
| p2026-09-06-046 | candidateFace detection in consumer cameras (2006–07) | NOT FOUND | not-found | |||||
| p2026-09-06-047 | candidateGmail false-positive rate (the loss side of spam filtering) | NOT FOUND | not-found | |||||
| p2026-09-06-048 | candidateYouTube recommender (2010–11) | NOT FOUND | not-found | |||||
| p2026-09-06-049 | candidateFacebook News Feed (2009 onward) | NOT FOUND | not-found | |||||
| p2026-09-06-050 | candidateLearned search ranking and ad targeting | NOT FOUND | not-found | |||||
| p2026-09-06-051 | candidateHMM speech recognition in call centres / IVR | NOT FOUND | not-found | |||||
| p2026-09-06-052 | candidatePredPol | NOT FOUND | not-found | |||||
| p2026-09-06-053 | candidateAmazon recommender share of sales | NOT FOUND | not-found | |||||
| p2026-09-06-054 | candidateRemedies | NOT FOUND | not-found | |||||
| p2026-09-06-055 | candidateDeep Blue (1997) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-056 | candidatePalm Graffiti (1996) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-057 | candidateRule-based expert systems still in service (MYCIN-descended rule engines, XCON-style configurators, SYSTRAN rule-based MT powering Babel Fish until 2006–07) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-058 | candidateRoomba (2002) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-059 | candidateFacebook EdgeRank as published (2010) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-060 | candidatePhase-detection and contrast autofocus in the same 2006–07 cameras | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-061 | candidateThe 2010 flash crash | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-062 | candidateUS card-fraud losses falling through the 1990s–2000s | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-063 | candidateDecline in telephone operator and directory-assistance employment | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-064 | candidateDigital camera shipments passing 100 million units in 2007 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-065 | candidateNetflix's and Amazon's revenue | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-066 | entryIntegrated Joint Operations Platform (Xinjiang) | CN | agency | loss | 2017 | 24,412 | −3 S3·R1 | validated |
| p2026-09-06-067 | entryIntegrated Joint Operations Platform (Xinjiang) | CN | agency | loss | 2016 | 13,000,000 | −5 S3·R3 | validated |
| p2026-09-06-068 | entryCOMPAS recidivism risk score | US | agency | loss | 2013 | 7,000 | −1 S2·R0 | validated |
| p2026-09-06-069 | entryDutch childcare-benefits risk classification model | other:Netherlands | agency | loss | 2013 | 42,000 | −2 S2·R1 | validated |
| p2026-09-06-070 | remedyCatshuisregeling fixed compensation scheme (Dutch Cabinet, January 2021) | other:Netherlands | remedy | 2021-06-22 | 19,000 | validated | ||
| p2026-09-06-071 | entryTesla Autopilot (Autosteer + TACC) | US | safety | loss | 2018 | 13 | — | validated |
| p2026-09-06-072 | remedyTesla recall 23V838 (Defect Information Report, 12 December 2023) and NHTSA Recall Query RQ24009 | US | remedy | 2023-12-12 | 2,031,220 | validated | ||
| p2026-09-06-073 | entryUber ATG automated driving system | US | safety | loss | 2018-03-18 | 1 | −2 S3·R0 | validated |
| p2026-09-06-074 | entryAFR Locate (South Wales Police live facial recognition) | UK | agency | loss | 2017-05 | 500,000 | −1 S1·R2 | validated |
| p2026-09-06-075 | entryAFR Locate (South Wales Police live facial recognition) | UK | safety | benefit | 2017-05 | 37 | — | validated |
| p2026-09-06-076 | entryFacebook Face Recognition / tag suggestions | world | agency | loss | 2011 | 1,000,000,000 | 0 S0·R6 | validated |
| p2026-09-06-077 | remedyMeta shutdown of the Face Recognition system and deletion of templates | world | remedy | 2021-11-02 | 1,000,000,000 | validated | ||
| p2026-09-06-078 | entryGoogle Translate | world | knowledge | benefit | 2006 | 500,000,000 | +2 S1·R5 | validated |
| p2026-09-06-079 | entryGoogle Neural Machine Translation (GNMT) | world | knowledge | benefit | 2016-09-27 | 18,000,000 | — | validated |
| p2026-09-06-080 | entryIDx-DR autonomous diabetic retinopathy detection | US | health | benefit | 2018-04-11 | 900 | +1 S2·R0 | validated |
| p2026-09-06-081 | candidateChina's court-defaulter blacklist, credit-repair figures (2024–25) | NOT FOUND | not-found | |||||
| p2026-09-06-082 | candidateLoomis remedy (Wisconsin v Loomis, 2016) | NOT FOUND | not-found | |||||
| p2026-09-06-083 | candidateGDPR Article 22 in force (2018) | NOT FOUND | not-found | |||||
| p2026-09-06-084 | candidateSan Francisco facial-recognition ban (May 2019) | NOT FOUND | not-found | |||||
| p2026-09-06-085 | candidateSpectre/Meltdown as a loss against learned branch prediction | NOT FOUND | not-found | |||||
| p2026-09-06-086 | candidateAmazon scrapped hiring model (2018) | NOT FOUND | not-found | |||||
| p2026-09-06-087 | candidateUber/Lyft learned dispatch and pricing | NOT FOUND | not-found | |||||
| p2026-09-06-088 | candidateWaymo rider-only service (2018–19) | NOT FOUND | not-found | |||||
| p2026-09-06-089 | candidateAlphaGo (2016) | NOT FOUND | not-found | |||||
| p2026-09-06-090 | candidateClearview AI | NOT FOUND | not-found | |||||
| p2026-09-06-091 | candidateFacebook BIPA $650M settlement | NOT FOUND | not-found | |||||
| p2026-09-06-092 | candidateFacebook Face Recognition start date | NOT FOUND | not-found | |||||
| p2026-09-06-093 | candidateXinjiang camp population | NOT FOUND | not-found | |||||
| p2026-09-06-094 | candidateChina's court-defaulter blacklist ("social credit") | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-095 | candidateAustralia's Robodebt | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-096 | candidateMichigan MiDAS | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-097 | candidateBoeing MCAS | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-098 | candidateUK Post Office Horizon | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-099 | candidateCambridge Analytica psychographics | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-100 | candidateDeep Blue, plain contrast/phase autofocus, rule-based MT | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-101 | candidateFacebook ranking and Myanmar 2017–18 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-102 | candidateAmazon warehouse injury rates | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-103 | candidateGig-economy earnings changes (Uber/Lyft, 2012–19) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-104 | entryAlphaFold 2 / AlphaFold Protein Structure Database | world | knowledge | benefit | 2021-07-22 | 2,000,000 | +2 S2·R3 | validated |
| p2026-09-06-105 | entryChatGPT | world | knowledge | benefit | 2022-11-30 | 100,000,000 | +2 S1·R5 | validated |
| p2026-09-06-106 | entryChatGPT (writing tasks, randomised experiment) | US | work | benefit | 2023-07-13 | 453 | +1 S1·R0 | validated |
| p2026-09-06-107 | entryGenerative AI conversational assistant in a call centre | US | work | benefit | 2023-04 | 5,179 | +1 S1·R0 | validated |
| p2026-09-06-108 | entryGitHub Copilot | world | work | benefit | 2022-09-07 | 95 | +1 S1·R0 | validated |
| p2026-09-06-109 | entryWaymo Driver (rider-only automated driving) | US | safety | benefit | 2023-10 | 7,140,000 | — | validated |
| p2026-09-06-110 | entryEpic Sepsis Model | US | health | loss | 2021-06-21 | 27,697 | −1 S2·R0 | unverified |
| p2026-09-06-111 | entryCOVID-19 machine-learning diagnosis and prognosis from chest imaging | world | knowledge | loss | 2021-03-15 | 0 | — | validated |
| p2026-09-06-112 | entryLavender (IDF target-marking system) | other:Palestine (Gaza) | agency | loss | 2023-10 | 37,000 | −2 S2·R1 | unverified |
| p2026-09-06-113 | entryTesla Autopilot / Autosteer | US | safety | loss | 2023-12-12 | 2,000,000 | −1 S2·R0 | validated |
| p2026-09-06-114 | entryPolice face recognition (Detroit PD, DataWorks Plus) | US | agency | loss | 2020-01 | 6 | −2 S3·R0 | validated |
| p2026-09-06-115 | entryFlock Safety automated licence plate readers | US | agency | loss | 2023-01 | 1,000,000,000 | — | validated |
| p2026-09-06-116 | remedyNHTSA safety recall 23V-838 — over-the-air Autosteer driver-monitoring update | US | remedy | 2023-12-12 | 2,000,000 | validated | ||
| p2026-09-06-117 | remedyCruise NHTSA safety recall 23E-086 — collision-detection subsystem software update | US | remedy | 2023-11-07 | 950 | validated | ||
| p2026-09-06-118 | candidateUnitedHealth nH Predict headcount | NOT FOUND | not-found | |||||
| p2026-09-06-119 | candidateGenerative AI and freelancers | NOT FOUND | not-found | |||||
| p2026-09-06-120 | candidateFlock | NOT FOUND | not-found | |||||
| p2026-09-06-121 | candidateClearview AI fines as remedies | NOT FOUND | not-found | |||||
| p2026-09-06-122 | candidateNYC Local Law 144 (5 July 2023) | NOT FOUND | not-found | |||||
| p2026-09-06-123 | candidateEU AI Act | NOT FOUND | not-found | |||||
| p2026-09-06-124 | candidateGraphCast (Nov 2023) | NOT FOUND | not-found | |||||
| p2026-09-06-125 | candidateAlphaFold downstream drugs/papers | NOT FOUND | not-found | |||||
| p2026-09-06-126 | candidateChatGPT primary source | NOT FOUND | not-found | |||||
| p2026-09-06-127 | candidateDeepfake/voice-clone fraud losses | NOT FOUND | not-found | |||||
| p2026-09-06-128 | candidateRobodebt (Australia; Royal Commission July 2023) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-129 | candidatePost Office Horizon | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-130 | candidateOfqual A-level standardisation, August 2020 (~40% of grades downgraded) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-131 | candidateCOVID-19 exposure-notification apps (Google/Apple, NHS) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-132 | candidateBoeing MCAS, Michigan MiDAS | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-133 | candidateDeepfake and voice-clone fraud, 2020–23 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-134 | candidateUkraine 2022–23 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-135 | candidateGaza casualty counts | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-136 | candidateTeen mental-health trends 2020–23 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-137 | candidate2023 white-collar layoffs | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-138 | entryLLM coding assistants (Claude 3.5/3.7 in Cursor Pro) | world | work | loss | 2025-02 | 16 | −1 S1·R0 | validated |
| p2026-09-06-139 | entryGenerative AI in AI-exposed occupations | US | work | loss | 2022-11 | 5,000,000 | — | validated |
| p2026-09-06-140 | entryGenerative AI cited as a reason for layoffs | US | work | loss | 2025-01 | 54,836 | −2 S2·R1 | validated |
| p2026-09-06-141 | entryCyber Reasoning Systems (DARPA AI Cyber Challenge finalists) | world | safety | benefit | 2025-08-08 | 18 | — | validated |
| p2026-09-06-142 | entryBig Sleep (Google Project Zero / DeepMind) | world | safety | benefit | 2024-10 | 0 | — | validated |
| p2026-09-06-143 | entryAgentic LLM used for cyber espionage (GTG-1002) | world | safety | loss | 2025-09 | 30 | — | validated |
| p2026-09-06-144 | entryGenerative AI in fraud (deepfake video, voice cloning, synthetic text) | US | safety | loss | 2025-01 | 22,364 | −2 S2·R1 | validated |
| p2026-09-06-145 | entryDeepfake video-conference fraud (Arup, Hong Kong) | other:HK | safety | loss | 2024-02-02 | 1 | −1 S2·R0 | validated |
| p2026-09-06-146 | entryECMWF Artificial Intelligence Forecasting System (AIFS) | other:ECMWF-member-states | access | benefit | 2025-02-25 | 35 | — | validated |
| p2026-09-06-147 | entryRentosertib (ISM001-055), AI-discovered TNIK inhibitor | CN | health | benefit | 2025-06-03 | 71 | +1 S2·R0 | validated |
| p2026-09-06-148 | entryWaymo Driver | US | safety | benefit | 2024-01 | 707 | +1 S2·R0 | validated |
| p2026-09-06-149 | entryAI/data-centre electricity load in the PJM capacity market | US | access | loss | 2025-06-01 | 7,927 | — | validated |
| p2026-09-06-150 | entryFlock Safety automated licence plate reader network | US | agency | loss | 2024-06-01 | 5,000 | — | validated |
| p2026-09-06-151 | remedyFlock keyword blocks for immigration and reproductive-health searches; removal of all federal organisations from statewide and national lookup networks | US | remedy | 2025-06 | 6,000 | validated | ||
| p2026-09-06-152 | candidateOpenAI's own mental-health counts (≈1.2M weekly users with explicit indicators of suicidal planning, 560k with signs of psychosis/mania, 800M weekly actives, Oct 2025) | NOT FOUND | not-found | |||||
| p2026-09-06-153 | candidateRaine v OpenAI (Aug 2025) and Garcia v Character Technologies (Oct 2024) | NOT FOUND | not-found | |||||
| p2026-09-06-154 | candidateFTC 6(b) orders, 11 Sept 2025 | NOT FOUND | not-found | |||||
| p2026-09-06-155 | candidateUK live facial recognition | NOT FOUND | not-found | |||||
| p2026-09-06-156 | candidateIllinois Secretary of State Flock audit (25 Aug 2025) | NOT FOUND | not-found | |||||
| p2026-09-06-157 | candidateFBI press release on the IC3 figures | NOT FOUND | not-found | |||||
| p2026-09-06-158 | candidateErdős problems solved with AI | NOT FOUND | not-found | |||||
| p2026-09-06-159 | candidateThe owner's named loss | NOT FOUND | not-found | |||||
| p2026-09-06-160 | candidateFermat's Last Theorem Lean formalisation | NOT FOUND | not-found | |||||
| p2026-09-06-161 | candidateMedicare WISeR (Jan 2026, six states) | NOT FOUND | not-found | |||||
| p2026-09-06-162 | candidateEU AI Act prohibitions (Feb 2025), Colorado AI Act (delayed), state deepfake laws | NOT FOUND | not-found | |||||
| p2026-09-06-163 | candidateCharacter.AI's removal of open-ended chat for under-18s (25 Nov 2025) | NOT FOUND | not-found | |||||
| p2026-09-06-164 | candidateInsilico approval / patients treated | NOT FOUND | not-found | |||||
| p2026-09-06-165 | candidateBaidu Apollo Go ride counts, Tesla robotaxi incident counts, XBOW topping HackerOne | NOT FOUND | not-found | |||||
| p2026-09-06-166 | candidateWaymo rides per week / lifetime rides | NOT FOUND | not-found | |||||
| p2026-09-06-167 | candidateLean 4 / mathlib formalisation of Fermat's Last Theorem (Sept 2026, ~13M lines; Wiedijk's list) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-168 | candidateChina's Supreme People's Court list of judgment defaulters (shixin blacklist) and municipal "social credit" point schemes | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-169 | candidateMedicare WISeR prior authorisation (2026) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-170 | candidateFlock's keyword blocks (the remedy above) are a hand-written string filter | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-171 | candidateThe EU AI Act, Colorado AI Act, state deepfake statutes | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-172 | candidate1,206,374 announced US job cuts in 2025 (Challenger) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-173 | candidate$20.877 billion in 2025 IC3 losses across 1,008,597 complaints | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-174 | candidatePJM's overall electricity price rise ($28.92 → $329.17/MW-day, 2024/25 to 2026/27) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-175 | candidateNRDC's ~$70/month household bill increase by 2028 and $163 billion through 2033 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-176 | candidateUkraine drone casualties | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-177 | candidateUS youth unemployment generally | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-178 | candidateBrynjolfsson/Li/Raymond, 5,179 customer support agents, +14% issues resolved per hour (+34% for novices) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-179 | entryPerceptron branch prediction in CPUs | world | access | benefit | 2017 | 7,470,000,000 | +2 S1·R7 | quote not found |
| p2026-09-06-180 | entrySpectre: the tax on a trainable branch predictor | world | safety | loss | 2018-01-03 | 7,470,000,000 | 0 S0·R7 | validated |
| p2026-09-06-181 | entryGmail spam, phishing and malware classification | world | access | benefit | 2019-02-06 | 1,500,000,000 | +2 S1·R6 | validated |
| p2026-09-06-182 | entryGoogle Maps ETA prediction (DeepMind graph neural networks) | world | access | benefit | 2020-09-03 | 1,000,000,000 | +2 S1·R6 | quote not found |
| p2026-09-06-183 | entryGoogle Translate | world | knowledge | benefit | 2016-04-28 | 500,000,000 | +2 S1·R5 | validated |
| p2026-09-06-184 | entryeBay Machine Translation (eMT) | world | access | benefit | 2014 | 162,000,000 | +2 S1·R5 | validated |
| p2026-09-06-185 | entryVisa Advanced Authorization | world | safety | benefit | 2019 | 4,600,000,000 | +2 S1·R7 | validated |
| p2026-09-06-186 | entryCredit scorecards (FICO and successors) | US | access | benefit | 1989 | 189,000,000 | +2 S1·R5 | validated |
| p2026-09-06-187 | entryCredit scorecards — the people the scorecard cannot see | US | access | loss | 1989 | 26,000,000 | −1 S1·R4 | validated |
| p2026-09-06-188 | candidateThe learned imaging pipeline in phone cameras | NOT FOUND | not-found | |||||
| p2026-09-06-189 | candidateNetflix recommender | NOT FOUND | not-found | |||||
| p2026-09-06-190 | candidateYouTube "70% of watch time from recommendations." Only a press quote attributed to Neal Mohan; no operator-published figure | NOT FOUND | not-found | |||||
| p2026-09-06-191 | candidateFalse declines (the loss side of learned fraud scoring) | NOT FOUND | not-found | |||||
| p2026-09-06-192 | candidateFICO's own numbers ("more than 232 million US consumers can be scored", "90% of top US lenders") | NOT FOUND | not-found | |||||
| p2026-09-06-193 | candidateGartner PC shipments 2024 (245.3 million) | NOT FOUND | not-found | |||||
| p2026-09-06-194 | candidateA shipped-silicon measurement of the perceptron predictor | NOT FOUND | not-found | |||||
| p2026-09-06-195 | candidateECMWF AIFS | NOT FOUND | not-found | |||||
| p2026-09-06-196 | candidateGlobal spam share of email | NOT FOUND | not-found | |||||
| p2026-09-06-197 | candidateSEARCHED, NOTHING AT RUNG SCALE | NOT FOUND | not-found | |||||
| p2026-09-06-198 | candidatePhase-detection and contrast autofocus | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-199 | candidateDeep Blue | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-200 | candidateRule-based spam filters (SpamAssassin's hand-written rules, DNS blocklists) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-201 | candidateDijkstra/A route finding in navigation | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-202 | candidateRule-based machine translation (early SYSTRAN) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-203 | candidateCard-network velocity rules ("decline if two countries in an hour") | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-204 | candidateEMV chip-and-PIN, 3-D Secure | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-205 | candidateRetpoline, KPTI and the other Spectre mitigations | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-206 | candidateStatic branch prediction (always-taken, backward-taken/forward-not-taken) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-207 | candidateThe fall in US credit invisibility from 5.8% (2010) to 2.7% (2020) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-208 | candidatePhotos taken per year rising toward 2 trillion | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-209 | candidateeBay's overall cross-border trade growth 2014-2019 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-210 | candidateGlobal email volume and the spam share of it | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-211 | candidateGrowth in card payment volume and the total fraud loss line | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-212 | candidateMobile broadband and 5G growth | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-213 | entryInfervision / Nankai CT screening for COVID-19 pneumonia | CN | health | benefit | 2020-01-22 | 81,000 | +2 S2·R2 | validated |
| p2026-09-06-214 | entryDeep-learning diabetic retinopathy screening in China's Metabolic Management Centres | CN | health | benefit | 2018-06 | 47,269 | +1 S2·R1 | quote not found |
| p2026-09-06-215 | entryShenzhen traffic-police facial recognition for jaywalking | CN | agency | loss | 2017-09 | 13,930 | −1 S1·R1 | validated |
| p2026-09-06-216 | entryMeituan / Ele.me algorithmic dispatch and delivery-time estimation | CN | work | loss | 2016 | 3,000,000 | −1 S1·R3 | validated |
| p2026-09-06-217 | entryMeituan / Ele.me algorithmic dispatch and delivery-time estimation | CN | safety | loss | 2017 | 329 | −2 S3·R0 | unverified |
| p2026-09-06-218 | entryQure.ai qXR chest X-ray AI for tuberculosis | IN | health | benefit | 2018-12 | 8,303 | +1 S2·R1 | validated |
| p2026-09-06-219 | entryARDA (Google/Verily Automated Retinal Disease Assessment), India | IN | health | benefit | 2019-01-01 | 600,000 | +2 S2·R2 | validated |
| p2026-09-06-220 | entrySamagra Vedika (Telangana welfare entity resolution) | IN | access | loss | 2016 | 1,860,000 | −4 S2·R3 | validated |
| p2026-09-06-221 | entryDelhi Police facial recognition system | IN | agency | loss | 2026-07-20 | 2,873 | −1 S1·R0 | validated |
| p2026-09-06-222 | entryM-Shwari algorithmic credit scoring (Safaricom / CBA, Kenya) | other:Kenya | access | benefit | 2012-11 | 4,500,000 | +2 S2·R3 | validated |
| p2026-09-06-223 | entryKenyan digital-lender credit scoring (M-Shwari, Tala, Branch and others) | other:Kenya | access | benefit | 2016 | 10,000,000 | +2 S2·R4 | validated |
| p2026-09-06-224 | entryKenyan digital-lender credit scoring (M-Shwari, Tala, Branch and others) | other:Kenya | agency | loss | 2016 | 2,204,591 | −4 S2·R3 | validated |
| p2026-09-06-225 | entryBrazilian state police facial recognition (Bahia, Rio de Janeiro, Santa Catarina, Paraíba, Ceará) | other:Brazil | agency | loss | 2019-03 | 151 | −1 S1·R0 | validated |
| p2026-09-06-226 | entryBahia (SSP-BA) facial recognition network | other:Brazil | safety | benefit | 2019 | 6,100 | +1 S1·R0 | unverified |
| p2026-09-06-227 | entrySistema de Reconocimiento Facial de Prófugos (Buenos Aires) | other:Argentina | agency | loss | 2019-04 | 7,500,000 | −1 S1·R3 | unverified |
| p2026-09-06-228 | remedyMeituan's change of the displayed estimated delivery time from a point of time to an extended period, plus reassignment of orders in unexpected situations, after the September 2020 Renwu report and the 2021 regulatory guidelines on algorithm use | CN | remedy | 2021 | 5,270,000 | validated | ||
| p2026-09-06-229 | remedyCentral Bank of Kenya Credit Repair Framework | other:Kenya | remedy | 2022-11-14 | 4,200,000 | validated | ||
| p2026-09-06-230 | remedyBuenos Aires courts: the April 2020 suspension order, Judge Liberatori's September 2022 unconstitutionality ruling, confirmed by the Court of Appeals on 28 April 2023 | other:Argentina | remedy | 2022-09 | 15,459 | validated | ||
| p2026-09-06-231 | candidateSesame Credit / Zhima (China, benefit side) | NOT FOUND | not-found | |||||
| p2026-09-06-232 | candidateBaidu Apollo Go (China) | NOT FOUND | not-found | |||||
| p2026-09-06-233 | candidateHuawei/Megvii "Uyghur alarm" and other minority-detection features (China) | NOT FOUND | not-found | |||||
| p2026-09-06-234 | candidateSharp Eyes / Skynet (China) | NOT FOUND | not-found | |||||
| p2026-09-06-235 | candidateChina's COVID health-code app | NOT FOUND | not-found | |||||
| p2026-09-06-236 | candidatePlantVillage Nuru (Kenya, benefit) | NOT FOUND | not-found | |||||
| p2026-09-06-237 | candidateM-Shwari's causal effect (Kenya) | NOT FOUND | not-found | |||||
| p2026-09-06-238 | candidateMicroSave "Making Digital Credit Truly Responsible" (Kenya, 2019) | NOT FOUND | not-found | |||||
| p2026-09-06-239 | candidateBhashini / AI4Bharat (India) | NOT FOUND | not-found | |||||
| p2026-09-06-240 | candidateQure.ai's India-wide reach | NOT FOUND | not-found | |||||
| p2026-09-06-241 | candidateDelhi Police FRT arrests | NOT FOUND | not-found | |||||
| p2026-09-06-242 | candidateTala and Branch (Kenya) | NOT FOUND | not-found | |||||
| p2026-09-06-243 | candidateNigeria and Kenya state surveillance | NOT FOUND | not-found | |||||
| p2026-09-06-244 | candidateChile and Mexico algorithmic welfare or policing | NOT FOUND | not-found | |||||
| p2026-09-06-245 | candidateZipline drone delivery (Rwanda, Ghana) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-246 | candidateChina's COVID-19 health-code apps (Alipay/WeChat health code) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-247 | candidateAadhaar-based biometric authentication at ration shops (ABBA) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-248 | candidateChina's court-defaulter blacklist (shixin) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-249 | candidateMunicipal "social credit" point schemes (Rongcheng and others) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-250 | candidateCard-velocity and threshold rules inside Kenyan and Indian payment systems | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-251 | candidateChina's poverty reduction, life expectancy and hunger figures | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-252 | candidateIndia's Aadhaar-linked ration denials and the Jharkhand starvation deaths (2017-18) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-253 | candidateKenya's mobile money revolution (M-PESA itself) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-254 | candidateIndia's TB notification rise nationally | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-255 | candidateBrazil's homicide decline over the facial-recognition years | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-256 | candidateDelivery-rider earnings in China | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-001 | entryChatGPT | world | knowledge | benefit | 2022-11-30 | 700,000,000 | +2 S1·R5 | validated |
| p2026-09-07-002 | entryChatGPT | world | health | loss | 2025-10-27 | 700,000,000 | −1 S1·R3 | validated |
| p2026-09-07-003 | entryChatGPT | world | health | loss | 2025-10-27 | 700,000,000 | −1 S1·R2 | validated |
| p2026-09-07-004 | entryMetropolitan Police live facial recognition (NEC NeoFace Live) | UK | safety | benefit | 2024-09-11 | 3,147,436 | +1 S1·R0 | validated |
| p2026-09-07-005 | entryMetropolitan Police live facial recognition (NEC NeoFace Live) | UK | agency | loss | 2024-09-11 | 3,147,436 | −1 S1·R3 | validated |
| p2026-09-07-006 | entryFlock Safety automated licence plate reader network | US | agency | loss | 2025-05 | 1 | −1 S2·R0 | unverified |
| p2026-09-07-007 | entrynaviHealth nH Predict (UnitedHealth) | US | health | loss | 2021 | 272,687 | −2 S2·R1 | validated |
| p2026-09-07-008 | entryGenerative AI in writing-related freelance occupations | world | work | loss | 2022-11-30 | 92,547 | −1 S1·R2 | validated |
| p2026-09-07-009 | entryLearned credit scorecards (Fair Isaac / FICO Score) | US | access | benefit | 1989 | 232,000,000 | +2 S1·R5 | validated |
| p2026-09-07-010 | entryLearned credit scorecards (Fair Isaac / FICO Score) | US | access | loss | 1989 | 25,000,000 | −1 S1·R4 | validated |
| p2026-09-07-011 | remedyIn re Facebook Biometric Information Privacy Litigation, $650m settlement, final approval order (Donato J., N.D. Cal.) | US | remedy | 2021-02-26 | 1,571,608 | quote not found | ||
| p2026-09-07-012 | candidateOpenAI's 800 million weekly users | NOT FOUND | not-found | |||||
| p2026-09-07-013 | candidateMet LFR ethnicity of the 10 false alerts | NOT FOUND | not-found | |||||
| p2026-09-07-014 | candidateIllinois SoS Flock audit | NOT FOUND | not-found | |||||
| p2026-09-07-015 | candidateUnitedHealth nH Predict | NOT FOUND | not-found | |||||
| p2026-09-07-016 | candidateErdős problems solved with AI assistance | NOT FOUND | not-found | |||||
| p2026-09-07-017 | candidateClearview AI | NOT FOUND | not-found | |||||
| p2026-09-07-018 | candidateerdosproblems.com traffic | NOT FOUND | not-found | |||||
| p2026-09-07-019 | candidateLean / mathlib formalisation infrastructure (298 Erdős-problem solutions formalised) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-020 | candidateMCG and InterQual prior-authorisation guidelines (PSI report) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-021 | candidateHumana's long-term acute care denial process | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-022 | candidateFICO's minimum scoring criteria (the rule excluding thin or stale files) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-023 | candidate46 million Medicare Advantage prior authorisation requests in 2022, ~3.4 million fully or partially denied (7.4%) (PSI, citing KFF) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-024 | candidateerdosproblems.com's 150,000 unique visitors in a week (Bloom, 19 Jan 2026) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-025 | candidateThe 198 Erdős problems that moved to "solved" between 1 Oct 2025 and 5 Sep 2026 (repo statistics series) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-026 | candidate262 immigration-related ALPR searches in Mount Prospect, 14 Jan–30 Apr 2025 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-027 | entryFacebook ad delivery optimisation | US | access | loss | 2019-04 | 7,560,885 | −1 S1·R3 | validated |
| p2026-09-07-028 | entryGoogle AdSense ad delivery on name searches | US | agency | loss | 2013-01 | 2,184 | — | validated |
| p2026-09-07-029 | entryX (Twitter) 'For You' feed ranking model | US | agency | loss | 2023-07 | 4,965 | — | unverified |
| p2026-09-07-030 | entryFacebook News Feed ranking model | US | agency | loss | 2020-09 | 231,000,000 | — | unverified |
| p2026-09-07-031 | entryMeta automated content moderation (Facebook, EU) | EU | agency | loss | 2025-01-01 | 263,600,000 | — | unverified |
| p2026-09-07-032 | entryMeta automated content moderation (Facebook, EU) | EU | safety | benefit | 2025-01-01 | 263,600,000 | — | unverified |
| p2026-09-07-033 | entryTikTok automated content moderation | EU | safety | benefit | 2025-07-01 | 178,000,000 | +2 S1·R5 | validated |
| p2026-09-07-034 | entryTikTok automated content moderation | EU | agency | loss | 2025-07-01 | 178,000,000 | −2 S1·R5 | validated |
| p2026-09-07-035 | entryGoogle Ads LLM-driven policy enforcement | world | agency | loss | 2024 | 5,000,000 | −1 S1·R3 | validated |
| p2026-09-07-036 | entryGoogle Ads LLM-driven policy enforcement | world | safety | benefit | 2024 | 700,000 | — | validated |
| p2026-09-07-037 | remedyVariance Reduction System, imposed by the settlement in United States v. Meta Platforms (S.D.N.Y.), verified by an independent reviewer | US | remedy | 2023-01-06 | 195,000,000 | validated | ||
| p2026-09-07-038 | remedyDigital Services Act internal complaint-handling and out-of-court dispute settlement (Articles 20–21), in force | EU | remedy | 2024-02-17 | 165,000,000 | validated | ||
| p2026-09-07-039 | remedyOversight Board — independent external review of Meta content decisions | world | remedy | 2021-01-28 | 1,290,942 | validated | ||
| p2026-09-07-040 | remedyGemini-based precision enforcement and rebuilt appeals process for Google Ads suspensions | world | remedy | 2025 | 24,900,000 | validated | ||
| p2026-09-07-041 | entryMeituan real-time intelligent dispatch system | CN | access | benefit | 2019 | 687,000,000 | — | unverified |
| p2026-09-07-042 | entryMeituan real-time intelligent dispatch system | CN | work | benefit | 2019 | 5,000,000 | — | unverified |
| p2026-09-07-043 | entryUber dynamic (upfront) pricing and work allocation | UK | work | loss | 2023-01 | 258 | −1 S1·R0 | validated |
| p2026-09-07-044 | entryUber dynamic (upfront) pricing and work allocation | UK | work | loss | 2023-01 | 258 | — | validated |
| p2026-09-07-045 | entryUber dynamic (upfront) pricing and work allocation | UK | work | loss | 2023-01 | 258 | — | validated |
| p2026-09-07-046 | entryUber dynamic (upfront) pricing and work allocation | UK | work | loss | 2023-01 | 114 | — | validated |
| p2026-09-07-047 | entryICRISAT/Microsoft AI Sowing App | IN | work | benefit | 2016-06 | 175 | — | validated |
| p2026-09-07-048 | entryICRISAT/Microsoft AI Sowing App | IN | work | benefit | 2017 | 3,000 | +1 S2·R0 | validated |
| p2026-09-07-049 | remedyOccupational injury insurance for platform workers — pilot (1 July 2022, seven provinces) extended nationwide | CN | remedy | 2026-07-02 | 29,900,000 | validated | ||
| p2026-09-07-050 | remedySpain's Riders' Law (Royal Decree Law 9/2021, ratified as Law 12/2021) — statutory right to algorithmic transparency | other:ES | remedy | 2021-08-12 | 30,000 | validated | ||
| p2026-09-07-051 | candidateFoxconn Chengdu lighthouse factory. Verified from Foxconn's own release (15 March 2021) | NOT FOUND | not-found | |||||
| p2026-09-07-052 | candidateBMW neural-network visual inspection. Passes gate 1 cleanly on BMW's own words | NOT FOUND | not-found | |||||
| p2026-09-07-053 | candidateJohn Deere See & Spray. Gate 1 passes ("See & Spray uses a combination of AI, machine learning, and boom-mounted cameras") | NOT FOUND | not-found | |||||
| p2026-09-07-054 | candidateOcado. "Our deep learning models are up to 40% more accurate than traditional retail forecasting systems" (Ocado, 12 January 2025) | NOT FOUND | not-found | |||||
| p2026-09-07-055 | candidateAmazon Sparrow / Proteus / Robin. Gate 1 passes (Amazon | NOT FOUND | not-found | |||||
| p2026-09-07-056 | candidateAmazon's own robotics safety claim. The fetched page says only "Company data shows that, in 2022, recordable incident rates and lost-time incident rates were lower at Amazon Robotics sites than non-robotics sites" | NOT FOUND | not-found | |||||
| p2026-09-07-057 | candidateAmazon Flex algorithmic deactivation (Bloomberg, June 2021) | NOT FOUND | not-found | |||||
| p2026-09-07-058 | candidateAMP Robotics learned sorting. Vendor case-study claims only | NOT FOUND | not-found | |||||
| p2026-09-07-059 | candidatePlantix. A real people count | NOT FOUND | not-found | |||||
| p2026-09-07-060 | candidateAmazon's projected 160,000 avoided US hires by 2027 through robotics. A forecast | NOT FOUND | not-found | |||||
| p2026-09-07-061 | candidateAutonomous trucking (Aurora, Kodiak, TuSimple). Driverless commercial miles exist; no measured jobs or casualty count attributable to a learned component | NOT FOUND | not-found | |||||
| p2026-09-07-062 | candidateDairy milking robots (Lely Astronaut). Not reached within budget; the definition question (is teat detection fit to data or a hand-coded 3D routine?) is unresolved | NOT FOUND | not-found | |||||
| p2026-09-07-063 | candidateThe INFORMS DOI page for the Meituan paper returns 403; I used the Bilkent course mirror of the same PDF, which is what the two Meituan entries cite | NOT FOUND | not-found | |||||
| p2026-09-07-064 | candidateUPS ORION. A route-optimisation heuristic written by UPS's Operations Research group over ten years; the "AI" label is marketing | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-065 | candidateKiva / Amazon Robotics drive units. Fiducial-marker navigation (downward cameras reading floor barcodes, upward cameras reading rack barcodes) with centralised multi-agent path planning | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-066 | candidateRio Tinto Autonomous Haulage System / Komatsu FrontRunner. GPS waypoint following with rule-based obstacle detection; no source ties the vehicle control to a fitted model | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-067 | candidateDeliveroo's "Frank" rider-ranking algorithm. The Bologna Tribunal (31 December 2020, €50,000 damages plus €7,254 costs, three CGIL unions) describes deterministic scoring rules | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-068 | candidateUber surge multipliers (pre-2023). A formulaic multiplier on a time-and-distance base fare | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-069 | candidateAmazon's rate/quota and "time off task" system. Threshold logic on measured productivity rates; no source documents the thresholds being fit to data | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-07-070 | candidateAcemoglu & Restrepo, "Robots and Jobs" (JPE 128(6), 2020, pp | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-071 | candidateFoxconn Kunshan, 2016 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-072 | candidateAmazon warehouse injury rates. From the Senate HELP Committee's own report (verified from the primary PDF) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-073 | candidateGig-economy earnings changes attributed to market entry, driver supply and commission policy rather than to a learned model | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-07-074 | candidateSpain | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-257 | entryFlock Safety automated licence plate reader network | US | safety | benefit | 2025-01 | 10,000 | +1 S2·R1 | validated |
| p2026-09-06-258 | entryFlock Safety automated licence plate reader network | US | agency | loss | 2024 | 24 | −1 S2·R0 | validated |
| p2026-09-06-259 | entryFlock Safety automated licence plate reader network (Johnson County, Texas abortion search) | US | agency | loss | 2025-05 | 1 | −1 S2·R0 | validated |
| p2026-09-06-260 | entryAutomated licence plate reader optical plate recognition (multi-vendor) | US | safety | loss | 2009-03 | 1 | −1 S2·R0 | validated |
| p2026-09-06-261 | entryPolice facial recognition (Clearview AI, DataWorks Plus and other vendors) | US | agency | loss | 2020 | 14 | −2 S3·R0 | validated |
| p2026-09-06-262 | entryShotSpotter / SoundThinking gunshot detection (Chicago Police Department) | US | agency | loss | 2020-01 | 1,740 | −1 S1·R0 | validated |
| p2026-09-06-263 | entryCBP Traveler Verification Service (biometric entry-exit facial comparison) | US | safety | benefit | 2018 | 2,000 | — | validated |
| p2026-09-06-264 | entryCBP Traveler Verification Service (biometric entry-exit facial comparison) | US | agency | loss | 2018 | 444,552 | −1 S1·R2 | unverified |
| p2026-09-06-265 | remedyMunicipal and state bans on police facial recognition; the Detroit settlement bar on seeking a warrant from a face-match lead alone; Indiana's statute | US | remedy | 2026-04 | 20 | validated | ||
| p2026-09-06-266 | candidateIllinois Secretary of State's Flock audit, 25 August 2025 | NOT FOUND | not-found | |||||
| p2026-09-06-267 | candidatePeople detained or arrested by ICE as a result of a Flock lookup | NOT FOUND | not-found | |||||
| p2026-09-06-268 | candidateFlock's "audit assistance tool", launched about June 2026 (Langley to CNN) | NOT FOUND | not-found | |||||
| p2026-09-06-269 | candidateChicago's termination of ShotSpotter, 23 September 2024 (12 police districts, about 117 square miles) | NOT FOUND | not-found | |||||
| p2026-09-06-270 | candidateFBI NGI-IPS face recognition | NOT FOUND | not-found | |||||
| p2026-09-06-271 | candidateClearview AI's own numbers | NOT FOUND | not-found | |||||
| p2026-09-06-272 | candidateWashington Post's "Arrested by AI" (2025), the source of the earlier "at least eight wrongfully arrested" and of records from 15 states covering more than 1,000 investigations | NOT FOUND | not-found | |||||
| p2026-09-06-273 | candidateNorfolk, Virginia (Schmidt v City of Norfolk, IJ) | NOT FOUND | not-found | |||||
| p2026-09-06-274 | candidateKechi, Kansas | NOT FOUND | not-found | |||||
| p2026-09-06-275 | candidateDHS/USCIS social-media vetting with a model | NOT FOUND | not-found | |||||
| p2026-09-06-276 | candidateSection 215 bulk call-detail records | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-277 | candidatePRISM, upstream collection, XKeyscore, contact chaining | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-278 | candidateFBI queries of Section 702 data | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-279 | candidateTSA Quiet Skies | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-280 | candidateThe hot-list half of ALPR, counted here because the counts are large and belong on the record | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-281 | candidateSKYNET (NSA, Pakistan) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-282 | candidateFlock's claim of about 1 million investigations supported and 20% of cleared cases in 2025 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-283 | candidateGarrett Langley's claim that Flock was "a big part" of the nationwide crime decline | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-284 | candidateThe fourteen wrongful arrests as a share of face-recognition arrests | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-285 | candidateShotSpotter's 4,556 dispositions showing evidence of a gun-related offence (9.1% of responses) | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-286 | candidateCBP's estimated 853,955 (FY2022) and 565,155 (FY2023) air and sea overstays | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-287 | candidateALPR stalking beyond the tally | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-288 | entryAI-supported mammography screening (MASAI trial, Transpara) | other:SE | health | benefit | 2021-04 | 105,934 | +1 S2·R0 | validated |
| p2026-09-06-289 | entryTREWS sepsis early warning system | US | health | benefit | 2018 | 590,736 | +1 S2·R0 | validated |
| p2026-09-06-290 | entryViz LVO stroke triage (Viz.ai) | US | health | benefit | 2018-02 | 14,116 | +1 S2·R1 | validated |
| p2026-09-06-291 | entryCAD4TB chest X-ray screening on ultra-portable X-ray, Nigeria | other:NG | health | benefit | 2022-01 | 94,694 | +1 S3·R0 | validated |
| p2026-09-06-292 | entryComputer-aided polyp detection in colonoscopy (CADe) | world | health | benefit | 2019 | 23,861 | +1 S1·R1 | validated |
| p2026-09-06-293 | entryNovissi emergency cash transfers targeted by a phone-and-satellite poverty model (Togo) | other:TG | access | benefit | 2020-09 | 60,000 | +1 S2·R1 | validated |
| p2026-09-06-294 | entryGoogle/DeepMind AI riverine flood forecasting (Flood Hub) | world | safety | benefit | 2023 | 700,000,000 | +2 S1·R5 | validated |
| p2026-09-06-295 | candidateDeaths avoided, or people actually alerted, attributable to a learned weather or flood model | NOT FOUND | not-found | |||||
| p2026-09-06-296 | candidateCyclone track improvement with an evacuation count | NOT FOUND | not-found | |||||
| p2026-09-06-297 | candidateBe My Eyes / Be My AI | NOT FOUND | not-found | |||||
| p2026-09-06-298 | candidateLive captions and automatic speech recognition for deaf and hard-of-hearing users; Microsoft Seeing AI | NOT FOUND | not-found | |||||
| p2026-09-06-299 | candidateBlueDot and HealthMap, December 2019 | NOT FOUND | not-found | |||||
| p2026-09-06-300 | candidateFINDER (Kogan et al., npj Digital Medicine 1:36, 2018, https://www.nature.com/articles/s41746-018-0045-1) | NOT FOUND | not-found | |||||
| p2026-09-06-301 | candidateFoodBorne Chicago | NOT FOUND | not-found | |||||
| p2026-09-06-302 | candidateProduct recalls or defects found early by a model | NOT FOUND | not-found | |||||
| p2026-09-06-303 | candidateA drug or treatment in service with a patient count attributable to a model, beyond Rentosertib | NOT FOUND | not-found | |||||
| p2026-09-06-304 | candidateAgriculture or income beyond ICRISAT | NOT FOUND | not-found | |||||
| p2026-09-06-305 | candidateA learned system making an essential measurably cheaper for a counted population | NOT FOUND | not-found | |||||
| p2026-09-06-306 | candidateBrainomix e-Stroke | NOT FOUND | not-found | |||||
| p2026-09-06-307 | candidatePatient-level outcomes for Viz.ai | NOT FOUND | not-found | |||||
| p2026-09-06-308 | candidateAndroid Earthquake Alerts, on the counting side, is the opposite problem | NOT FOUND | not-found | |||||
| p2026-09-06-309 | candidateReusable rocket-stage landing | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-310 | candidateAndroid Earthquake Alerts System | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-311 | candidateShakeAlert (USGS) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-312 | candidateSIRS and SEP-1 sepsis criteria | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-313 | candidateSymptom-questionnaire TB screening (cough, fever, night sweats) | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-314 | candidateGeographic and occupation-based aid targeting, the counterfactuals in the Togo paper | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-315 | candidateMobile money rails and the voter registry that Novissi enrolled through | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-316 | candidateEndocuff and other mechanical adjuncts to colonoscopy | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-317 | candidateRadar-only automatic emergency braking with a hand-tuned time-to-collision threshold | DEFINITION REJECTS | reject-definition | |||||
| p2026-09-06-318 | candidateAutomatic emergency braking, the 50% cut in rear-end crashes | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-319 | candidateFalling breast cancer mortality in Sweden | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-320 | candidateThe post-COVID recovery in global TB case notifications | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-321 | candidateThe long decline in US sepsis mortality | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-322 | candidateGrowth in thrombectomy volumes since 2018 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-323 | candidateFalling colorectal cancer incidence | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-324 | candidateTogo's poverty and food-security numbers through 2020-21 | EXCLUDED BY ATTRIBUTION | exclude-attribution | |||||
| p2026-09-06-325 | candidateGlobal flood fatality trends | EXCLUDED BY ATTRIBUTION | exclude-attribution |