{"attribution":{"source":"AI Incident Database (Responsible AI Collaborative)","license":"CC BY-SA 4.0","license_url":"https://creativecommons.org/licenses/by-sa/4.0/","citation":"McGregor, S. (2021). Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. Proceedings of the AAAI Conference on Artificial Intelligence (IAAI-21).","snapshot_date":"2026-09-07"},"exported_at":"2026-09-11"}
{"rows":[{"incident_id":203,"occurred_on":"2022-02-10","title":"Uber Launched Opaque Algorithm That Changes Drivers' Payments in the US","description":"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.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of transparency or interpretability","entity":"AI","intent":"Intentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Uber"],"developers":["Uber"],"harmed":["Uber drivers"],"report_count":3},{"incident_id":137,"occurred_on":"2021-01-11","title":"Israeli Tax Authority Reportedly Used an Opaque Automated System to Issue a Fine, Declining to Explain or Disclose the Underlying Calculation","description":"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","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of transparency or interpretability","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"unclear","sectors":["real estate activities","public administration"],"countries":["IL"],"deployers":["Israeli Tax Authority"],"developers":["Israeli Tax Authority"],"harmed":["Moshe Har Shemesh, Israeli People Having Tax Fines"],"report_count":1},{"incident_id":355,"occurred_on":"2018-07-07","title":"Uber Allegedly Wrongfully Accused Drivers of Fraud via Automated Systems","description":"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.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of transparency or interpretability","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":"AI tangible harm event","sectors":["transportation and storage"],"countries":[],"deployers":["Uber"],"developers":["Uber"],"harmed":["Uber drivers"],"report_count":5},{"incident_id":96,"occurred_on":"2017-05-08","title":"Houston ISD's EVAAS Teacher-Evaluation System Reportedly Put Teachers' Jobs at Risk Through Unverifiable Scores","description":"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.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of transparency or interpretability","entity":"AI","intent":"Intentional","timing":"Post-deployment","harm_level":"none","sectors":["education"],"countries":["US"],"deployers":["Houston Independent School District"],"developers":["SAS Institute"],"harmed":["Teachers","Houston Independent School District teachers","Educators","Educational communities"],"report_count":1},{"incident_id":250,"occurred_on":"2016-02-01","title":"Dutch City Court Defended Home Value Generated by Black-Box Algorithm","description":"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.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of transparency or interpretability","entity":"Human","intent":"Unintentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Castricum Municipality"],"developers":["Castricum Municipality"],"harmed":["Unnamed Property Owner"],"report_count":1}]}