{"id":1227950,"name":"Cumulative AI-related bills passed into law since 2016, as of 2025","unit":"bills","createdAt":"2026-04-24T10:39:36.000Z","updatedAt":"2026-04-24T10:39:36.000Z","coverage":"","timespan":"2024-2024","datasetId":7803,"columnOrder":0,"shortName":"number_of_ai_related_bills_passed_into_law","catalogPath":"grapher/artificial_intelligence/2026-04-20/ai_index/ai_bills#number_of_ai_related_bills_passed_into_law","descriptionShort":"The total number of AI-related laws enacted in Group of Twenty (G20) countries between 2016 and 2025.","type":"int","grapherConfigIdETL":"019dbf12-d8a0-79d4-9456-44146f942b73","datasetName":"AI Index Report","updatePeriodDays":365,"datasetVersion":"2026-04-20","nonRedistributable":false,"display":{"unit":"bills","numDecimalPlaces":0},"schemaVersion":2,"processingLevel":"minor","presentation":{"attribution":"Digital Policy Alert via AI Index Report (2026)","topicTagsLinks":["Artificial Intelligence"]},"descriptionKey":["AI-related laws are identified through automated searches of legislative websites, combined with AI-based analysis of legal texts and manual checks.","The system searches for terms such as “artificial intelligence” and “machine learning” to identify relevant laws.","Each law is counted once, even if it includes several AI-related provisions. This means the total may underestimate the extent of policymaking.","Only laws that have been enacted are included. Proposed or pending legislation is not counted.","The number of laws does not capture their importance: one broad law can be more impactful than many narrower ones."],"dimensions":{"years":{"values":[{"id":2024}]},"entities":{"values":[{"id":21,"name":"Argentina","code":"ARG"},{"id":23,"name":"Australia","code":"AUS"},{"id":37,"name":"Brazil","code":"BRA"},{"id":44,"name":"Canada","code":"CAN"},{"id":171,"name":"China","code":"CHN"},{"id":3,"name":"France","code":"FRA"},{"id":6,"name":"Germany","code":"DEU"},{"id":137,"name":"India","code":"IND"},{"id":8,"name":"Italy","code":"ITA"},{"id":14,"name":"Japan","code":"JPN"},{"id":113,"name":"Mexico","code":"MEX"},{"id":12,"name":"Russia","code":"RUS"},{"id":90,"name":"Saudi Arabia","code":"SAU"},{"id":81,"name":"South Africa","code":"ZAF"},{"id":127,"name":"South Korea","code":"KOR"},{"id":70,"name":"Turkey","code":"TUR"},{"id":1,"name":"United Kingdom","code":"GBR"},{"id":13,"name":"United States","code":"USA"}]}},"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. “The AI Index 2026 Annual Report,” 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"}}]}