{"id": 1227953, "name": "Annual reported artificial intelligence incidents and controversies", "unit": "incidents", "createdAt": "2026-04-24T10:39:36.000Z", "updatedAt": "2026-04-24T10:39:36.000Z", "coverage": "", "timespan": "2012-2025", "datasetId": 7803, "columnOrder": 0, "shortName": "number_of_ai_incidents", "catalogPath": "grapher/artificial_intelligence/2026-04-20/ai_index/ai_incidents#number_of_ai_incidents", "descriptionShort": "The number of reported incidents where AI systems caused or nearly caused harm.", "type": "int", "grapherConfigIdETL": "019dbf12-d8ad-77c2-85e7-c7d10547afb5", "datasetName": "AI Index Report", "updatePeriodDays": 365, "datasetVersion": "2026-04-20", "nonRedistributable": false, "display": {"unit": "incidents", "numDecimalPlaces": 0}, "schemaVersion": 2, "processingLevel": "minor", "presentation": {"attribution": "AI Incident Database via AI Index Report (2026)", "topicTagsLinks": ["Artificial Intelligence"]}, "descriptionKey": ["The AI Incident Database (AIID) collects reports of cases where AI systems have caused or nearly caused harm.", "Incidents include a wide range of harms, such as harmful AI-generated content, deepfake impersonation, biased facial recognition leading to wrongful arrests, and accidents involving AI systems.", "Entries are reviewed by human editors based on publicly available sources, including academic research and investigative journalism.", "Because reporting relies on publicly available sources, incidents are likely undercounted, especially in regions with less media coverage.", "The database is continuously updated, including for past years, so figures may change over time and may not match the latest totals reported by AIID."], "dimensions": {"years": {"values": [{"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 2022}, {"id": 2023}, {"id": 2024}, {"id": 2025}]}, "entities": {"values": [{"id": 355, "name": "World", "code": "OWID_WRL"}]}}, "origins": [{"id": 14378, "title": "AI Index Report", "description": "The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.", "producer": "AI Index Report", "citationFull": "Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld. \u201cThe AI Index 2026 Annual Report,\u201d AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2026.", "attributionShort": "AI Index Report", "urlMain": "https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf", "dateAccessed": "2026-04-20", "datePublished": "2026-04-13", "license": {"url": "https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf", "name": "CC BY-ND 4.0"}}]}