Where the cases are filed
California (23), Illinois (17) and New York (11) produced most of 2022’s cases. Illinois is there because of one 2008 statute.
Chapter 6 of the AI Index 2023 measures how governments actually behave around AI — not what they say they will do. It reads the legislative records of 127 countries, the parliamentary minutes of 81, every US federal and state AI bill, national AI strategies, US public spending, and American court dockets. The story of 2022 is a conversion rate: after years in which legislative attention vastly outran legislative output, the share of AI bills that actually became law jumped sharply. The numbers:
The AI Index read every law containing the words “artificial intelligence” passed by the legislatures of 127 countries between 2016 and 2022. Growth is real and steep — but it is concentrated in a small number of places.
Of the 127 countries analyzed, only 31 have passed a single AI-related bill since 2016, and between them they account for 123 laws in total. Annual output climbed from just one law in 2016 to 37 in 2022. In 2022 the United States led with 9 laws, followed by Spain (5) and the Philippines (4); Andorra, Belgium, Italy, Portugal, Russia and the United Kingdom passed 2 each. Measured cumulatively across 2016–22 the ordering changes: the United States leads with 22, then Portugal (13), Spain (10), Italy and Russia (9 each).
Almost none of these are AI acts in the sense the phrase now implies. The AI Index sampled five of 2022’s laws and found the words “artificial intelligence” buried inside statutes about creative industries, national security, schools, anti-discrimination and civil-service training:
The AI Index warns that this count probably undercounts real activity, because a single large bill can contain multiple AI-related sub-bills — the CHIPS and Science Act, passed by the United States in 2022, is the example it gives. Coverage is also incomplete: publicly accessible legislative databases simply do not exist for some countries.
The most interesting number in the US legislative record for 2022 is not a total, it is a ratio. Fewer AI bills were introduced than the year before, yet three times as many made it into law.
In 2015 exactly one AI-related federal bill was proposed. By 2021 that had reached 134, falling back to 88 in 2022. Over the same stretch the number of bills actually passed sat unmoved at 3 a year for four consecutive years — and then went to 9 in 2022. As a proportion, 2% of federal AI bills became law in 2021; 10% did in 2022.
State legislatures show the same pattern, further along. Proposals rose from 5 in 2015 to 60 in 2022; passage rose from 1 bill (16% of that year’s proposals) to 21 (35%). California led 2022 with 5 laws, then Maryland (3), and Colorado, New Jersey and Washington with 2 each. Cumulatively from 2016 to 2022, Maryland leads with 7, ahead of California (6), Massachusetts and Washington (5 each), and Illinois, Utah and Vermont (3 each). Roughly half the states have still never passed one.
Beyond bills, the AI Index counts how often the phrase “artificial intelligence” shows up in the minutes of legislatures, in US congressional committee reports, and in policy papers from think tanks and universities. Three different barometers, three different readings.
Across the parliamentary and governmental proceedings of 81 countries, AI mentions registered a small decrease in 2022 — from 1,547 to 1,340 — in a run that has still grown nearly 6.5 times since 2016. Only 46 of the 81 countries recorded a single mention all year. Spain topped 2022 with 273 mentions, followed by Canada (211), the United Kingdom (146) and the United States (138). Over the full 2016–22 period the United Kingdom dominates with 1,092 mentions, ahead of Spain (832), the United States (626), Japan (511) and Hong Kong (478); 62 of the 81 countries have at least one.
The chapter samples the debates themselves, and the range is the point — the same two words are doing very different work in different chambers:
Mentions of AI in the committee reports of the House and Senate rose sharply from the 115th session onward and reached 73 in the 117th (2021–22), the highest in a series that begins in 2001. Appropriations led the House with 20 mentions, ahead of Science, Space, and Technology (9) and Rules (5); in the Senate, Homeland Security and Governmental Affairs led with 8, ahead of Appropriations (3). Outside government, the AI Index tracked 55 US-based organizations — 19 think tanks and policy institutes, 14 university institutes and research programs, 9 civil society bodies, 9 industry and consultancy organizations and 4 government agencies — which published 284 AI policy papers in 2022, 3.2 times the 2018 figure. The leading primary topics were industry and regulation (107), innovation and technology (90) and government and public administration (82). Privacy, safety, and security, the single most reported topic in 2021, slipped to fourth (59).
National AI strategies were the policy instrument of the late 2010s; by 2022 the wave had almost finished. US public money, tracked separately through R&D budgets and procurement, kept climbing.
Canada launched the world’s first national AI strategy in March 2017, alongside China and Finland that year. Since then 62 strategies have been released in total, with the peak arriving in 2019, when 26 countries published one — Argentina, Denmark, Estonia, Japan, Kenya, Qatar, Singapore, the United Arab Emirates and the United States among them. Fourteen followed in 2020 and ten in 2021. By 2022 only two countries released a new national AI strategy: Italy and Thailand. A further seven pledged to develop one in 2021 (Armenia, Bahrain, Cuba, Iceland, Morocco, New Zealand, Oman) and seven more in 2022 (Azerbaijan, Belgium, Benin, Israel, Jordan, Nigeria, Uzbekistan).
Nondefense US government agencies allocated $1.7 billion to AI R&D in fiscal year 2022 — a slight decline from FY21’s $1.75 billion, but a 208.9% increase on the $0.56 billion of FY18. A larger $1.84 billion was requested for FY23. The Department of Defense line went the other way and then reversed: its request for nonclassified AI-specific research, development, test and evaluation slid from $1.00 billion in FY20 to $0.93 billion in FY21 and $0.87 billion in FY22, before jumping to $1.10 billion for FY23 — a 26.4% increase. Neither figure includes classified AI R&D by defense and intelligence agencies, which the underlying report does not cover.
The AI Index worked with AI-law scholar Elif Kiesow Cortez to track US federal and state cases from 2000 to 2022 containing AI-related keywords. There were 110 in 2022, 6.5 times the 2016 count. Tap any card for the detail.
California (23), Illinois (17) and New York (11) produced most of 2022’s cases. Illinois is there because of one 2008 statute.
Civil law (29%), intellectual property (19%) and contract law (13.6%) dominate. Financial and professional services is the sector most often at issue.
Students sued over an AI proctoring tool under Illinois’ biometric privacy law — and lost on a definition of “financial institution”.
A parole board used COMPAS to assess risk. The court ordered the algorithm’s confidential material disclosed to the plaintiffs’ expert.
A recommendation algorithm surfaced a drug-related group to a user who later died. The court held the platform immune.
Headline findings from Chapter 6 · Policy and Governance, AI Index Report 2023.
An AI Index analysis of the legislative records of 127 countries shows that the number of bills containing “artificial intelligence” that were passed into law grew from just 1 in 2016 to 37 in 2022.
In 2021, only 2% of all federal AI bills in the United States were passed into law. This number jumped to 10% in 2022. Similarly, last year 35% of all state-level AI bills were passed into law.
A qualitative analysis of the parliamentary proceedings of a diverse group of nations reveals that policymakers think about AI from a wide range of perspectives.
Since 2017, the amount of U.S. government AI-related contract spending has increased roughly 2.5 times.
In 2022, there were a total of 110 AI-related cases in U.S. federal and state courts, 6.5 times more than in 2016.
Chapter 6 (sections 6.1–6.4) with every figure, table and footnote is free from Stanford HAI. Or head back to the report highlights and the full eight-chapter overview.
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