African Union
The African Union's Continental AI Strategy sets the stage for a unified approach to AI governance across the continent.
Artificial intelligence (AI) has made enormous strides in recent years and has increasingly moved into the public consciousness.
Increases in computational power, coupled with advances in machine learning, have fueled the rapid rise of AI. This has brought enormous opportunities, as new AI applications have given rise to new ways of doing business. It has also brought potential risks, from unintended impacts on individuals (e.g., AI errors harming an individual's credit score or public reputation) to the risk of misuse of AI by malicious third parties (e.g., by manipulating AI systems to produce inaccurate or misleading output, or by using AI to create deepfakes).
Governments and regulatory bodies around the world have had to act quickly to try to ensure that their regulatory frameworks do not become obsolete. In addition, international organizations such as the G7, the UN, the Council of Europe and the OECD have responded to this technological shift by issuing their own AI frameworks. But they are all scrambling to stay abreast of technological developments, and already there are signs that emerging efforts to regulate AI will struggle to keep pace. In an effort to introduce some degree of international consensus, the UK government organized the first global AI Safety Summit in November 2023, with the aim of encouraging the safe and responsible development of AI around the world.
Most jurisdictions have sought to strike a balance between encouraging AI innovation and investment, while at the same time attempting to create rules to protect against possible harms. However, jurisdictions around the world have taken substantially different approaches to achieving these goals, which has in turn increased the risk that businesses face from a fragmented and inconsistent AI regulatory environment. Nevertheless, certain trends are becoming clearer at this stage:
Businesses in almost all sectors need to keep a close eye on these developments to ensure that they are aware of the AI regulations and forthcoming trends, in order to identify new opportunities and new potential business risks. But even at this early stage, the inconsistent approaches each jurisdiction has taken to the core questions of how to regulate AI is clear. As a result, it appears that international businesses may face substantially different AI regulatory compliance challenges in different parts of the world. To that end, this AI Tracker is designed to provide businesses with an understanding of the state of play of AI regulations in the core markets in which they operate. It provides analysis of the approach that each jurisdiction has taken to AI regulation and provides helpful commentary on the likely direction of travel.
Because global AI regulations remain in a constant state of flux, this AI Tracker will develop over time, adding updates and new jurisdictions when appropriate. Stay tuned, as we continue to provide insights to help businesses navigate these ever-evolving issues.
The African Union's Continental AI Strategy sets the stage for a unified approach to AI governance across the continent.
Voluntary AI Ethics Principles guide responsible AI development in Australia, with potential reforms under consideration.
The enactment of Brazil's proposed AI Regulation remains uncertain with compliance requirements pending review.
AIDA expected to regulate AI at the federal level in Canada but provincial legislatures have yet to be introduced.
The Interim AI Measures is China's first specific, administrative regulation on the management of generative AI services.
The Council of Europe is developing a new Convention on AI to safeguard human rights, democracy, and the rule of law in the digital space covering governance, accountability and risk assessment.
The successful implementation of the EU AI Act into national law is the primary focus for the Czech Republic, with its National AI Strategy being the main policy document.
The EU introduces the pioneering EU AI Act, aiming to become a global hub for human-centric, trustworthy AI.
France actively participates in international efforts and proposes sector-specific laws.
The G7's AI regulations mandate Member States' compliance with international human rights law and relevant international frameworks.
Germany evaluates AI-specific legislation needs and actively engages in international initiatives.
National frameworks inform India’s approach to AI regulation, with sector-specific initiatives in finance and health sectors.
Israel promotes responsible AI innovation through policy and sector-specific guidelines to address core issues and ethical principles.
Japan adopts a soft law approach to AI governance but lawmakers advance proposal for a hard law approach for certain harms.
Kenya's National AI Strategy and Code of Practice expected to set foundation of AI regulation once finalized.
Nigeria's draft National AI Policy underway and will pave the way for a comprehensive national AI strategy.
Position paper informs Norwegian approach to AI, with sector-specific legislative amendments to regulate developments in AI.
The OECD's AI recommendations encourage Member States to uphold principles of trustworthy AI.
Saudi Arabia is yet to enact AI Regulations, relying on guidelines to establish practice standards and general principles.
Singapore's AI frameworks guide AI ethical and governance principles, with existing sector-specific regulations addressing AI risks.
South Africa is yet to announce any AI regulation proposals but is in the process of obtaining inputs for a draft National AI plan.
South Korea's AI Act to act as a consolidated body of law governing AI once approved by the National Assembly.
Spain creates Europe's first AI supervisory agency and actively participates in EU AI Act negotiations.
Switzerland's National AI Strategy sets out guidelines for the use of AI, and aims to finalize an AI regulatory proposal in 2025.
Draft laws and guidelines are under consideration in Taiwan, with sector-specific initiatives already in place.
Turkey has published multiple guidelines on the use of AI in various sectors, with a bill for AI regulation now in the legislative process.
Mainland UAE has published an array of decrees and guidelines regarding regulation of AI, while the ADGM and DIFC free zones each rely on amendments to existing data protection laws to regulate AI.
The UK prioritizes a flexible framework over comprehensive regulation and emphasizes sector-specific laws.
The UN's new draft resolution on AI encourages Member States to implement national regulatory and governance approaches for a global consensus on safe, secure and trustworthy AI systems.
The US relies on existing federal laws and guidelines to regulate AI but aims to introduce AI legislation and a federal regulation authority.
The US relies on existing federal laws and guidelines to regulate AI but aims to introduce AI legislation and a federal regulation authority. Until then, developers and deployers of AI systems will operate in an increasing patchwork of state and local laws, underscoring challenges to ensure compliance.
Currently, there is no comprehensive federal legislation or regulations in the US that regulate the development of AI or specifically prohibit or restrict their use. That said, there are more than 120 AI bills being considered by the US Congress, covering a wide range of issues such as AI education, copyright disclosure, AI robocalls, biological risks, and AI's role in national security, including prohibiting AI from launching nuclear weapons autonomously.1 Notably, many of the proposed bills emphasize the development of voluntary guidelines and best practices for AI systems, reflecting a cautious approach to regulation aimed at fostering innovation without imposing strict mandates. This approach is influenced by concerns over stifling technological progress and maintaining competitiveness, particularly against countries like China (which produces approximately four STEM graduates for every STEM graduate in the US). Given political divisions in the US and the influence of corporate lobbying, most of these bills are unlikely to become law.
Existing US federal laws have limited application to AI. A non-exhaustive list of key examples includes:
Nevertheless, various frameworks and guidelines exist to guide the regulation of AI, including:
On September 12, 2023, the US Senate held public hearings regarding AI13, which laid out potential forthcoming AI regulations. Possible legislation could include requiring licensing and creating a new federal regulatory agency. Additionally, US lawmakers held closed-door listening sessions with AI developers, technology leaders and civil society groups on September 13, 2023 in a continued push to understand and address AI.14
There are several federal proposed laws related to AI. A non-exhaustive list of key examples includes:
State legislatures have also introduced a substantial number of bills aimed at regulating AI, notably:
As for international commitments, on September 5, 2024, the United States joined Andorra, Georgia, Iceland, Norway, the Republic of Moldova, San Marino, the United Kingdom, Israel, and the European Union to sign the Council of Europe’s Framework Convention33 on AI. The treaty will enter into force on the first day of the month following three months after five signatories, including at least three Council of Europe Member States, have ratified it. Countries from all over the world will be eligible to join and commit to its provisions.
Existing legislation has been the primary way in which the US regulates AI as established law, including privacy and intellectual property laws, which are generally applicable to AI technologies.
Notably, in April 2023, the Federal Trade Commission, Equal Employment Opportunity Commission, Consumer Financial Protection Bureau, and Department of Justice issued a joint statement noting that "existing legal authorities apply to the use of automated systems and innovative new technologies."34 As cited above, in February 2024, the Federal Communications Commission applied restrictions in the Telephone Consumer Protection Act on AI-generated voices.
Several states have enacted comprehensive privacy legislation that can also regulate AI. A non-exhaustive list of notable state legislation includes:
Existing intellectual property laws also apply to AI, both with respect to the data AI technologies are trained upon and the outputs of such technologies. For example, with respect to outputs, the US District Court has held that human authorship is an essential part of a valid copyright claim, and the Copyright Office will refuse to register a work unless it was created by a human being."37 There are also numerous cases before the courts in the US alleging copyright infringement, among other things, with respect to training data.
There is no single definition of AI.
The National Artificial Intelligence Initiative and White House Executive Order on AI define AI as "a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. Artificial intelligence systems use machine- and human-based inputs to perceive real and virtual environments; abstract such perceptions into models through analysis in an automated manner; and use model inference to formulate options for information or action."38
Many state privacy bills have different definitions of automated decision-making technology or "profiling":
As noted above, there are currently no comprehensive federal laws that have been enacted to specifically regulate AI. Accordingly, there is no specific territorial scope of federal legislation. However, many existing statutes regulate activities in which AI can be used, and those federal statutes typically apply nationally and, in some cases, extra-territorially. State legislation regulating AI generally has extra-territorial effect as its application typically extends to entities that target its residents from within or outside the state.
As noted above, there are currently no comprehensive federal laws that directly regulate AI. Accordingly, there is no specific federal sectoral scope at this stage. Nevertheless, there are certain sector-specific frameworks that have been implemented in the US to regulate the use of AI. A non-exhaustive list of key examples includes:
As noted above, there is currently no comprehensive federal legislation in the US that directly regulates AI. Accordingly, there are currently no specific or unique federal obligations imposed on developers, users, operators and/or deployers of AI systems. However, developers, users, operators and deployers of AI systems should anticipate that existing law will apply to any regulated activity that uses AI, and consult legal counsel about the potential liabilities that may arise. While potentially novel, the use of AI does not per se provide a shield from the application of existing law.
As noted above, there is currently no comprehensive legislation in the US that directly regulates AI. However, the White House Executive Order on AI and proposed legislation at the federal and state level generally seeks to address the following issues:
As noted above, there is currently no comprehensive legislation in the US that directly regulates AI. AI is also not generally classified according to risk in the relevant frameworks and principles.
As noted above, there is currently no comprehensive federal legislation in the US that directly regulates AI. Nevertheless, the White House Executive Order on AI lists the following eight key principles and priorities to encourage the responsible development of AI technologies and safeguard against potential harms:
Currently, there is no AI-specific federal regulator in the US. However, in April 2023, the Federal Trade Commission, Equal Employment Opportunity Commission, Consumer Financial Protection Bureau and Department of Justice issued a joint statement clarifying that their authority applies to "software and algorithmic processes, including AI."48
Similarly, state regulators that regulate privacy legislation likely also have the authority to regulate AI vis-à-vis existing privacy provisions. The FTC has been active in this area, and we can expect to see more from them going forward; see discussion of Rite Aid below.
As noted above, there are currently no comprehensive federal laws or regulations in the US that have been enacted specifically to regulate AI. As such, enforcement and penalties relating to the creation, dissemination and/or use of AI are governed by application of existing law to situations involving AI, through regulatory or judicial application of non-AI-specific federal and state statutes or AI-specific state privacy legislation.
In addition, the Federal Trade Commission has evoked an interest in and focus on regulating AI through enforcement. On December 19, 2023, the FTC settled a significant action focused on artificial intelligence bias and discrimination against Rite Aid regarding the company’s use of facial recognition technology for retail theft deterrence. This illustrative case provides guidance on the FTC’s enforcement on AI systems. For example, the proposed consent order49 between Rite Aid and the FTC:
With respect to Colorado AI Act, the Colorado Attorney General has rule-making authority to implement, and exclusive authority to enforce, the requirements of the Act.50 A developer or deployer who violates the Act is deemed to engage in unfair or deceptive trade practices.
Enforcement mechanisms and penalties vary under the different California AI bills. Bills that specifically provide for enforcement include:
Further insights from White & Case:
Nick Reem (Associate, White & Case, Los Angeles) contributed to this publication.
1 See MIT Technology Review article
2 See Federal Aviation Administration Reauthorization Act
3 See National Defense Authorization Act
4 See National AI Initiative Act of 2020
5 See White House Executive Order on AI
6 See White House Blueprint for an AI Bill of Rights
7 See White House fact sheet
8 See FCC declaratory ruling
9 See EEOC-CRT-FTC-CFPB-AI-Joint-Statement (final)
10 See Keep your AI claims in check
11 See FTC Announces Crackdown on Deceptive AI Claims and Schemes
12 See Rite Aid Banned from Using AI Facial Recognition
13 See The Need for Transparency in Artificial Intelligence
14 See IAPP article
15 See SAFE Innovation AI Framework
16 See REAL Political Advertisements Act
17 See Stop Spying Bosses Act
18 See NO FAKES Act
19 See AI Research, Innovation, and Accountability Act
20 See American Privacy Rights Act
21 See Defending Democracy from Deepfake Deception Act
22 See Use of likeness: digital replica
23 See California AI Transparency Act
24 See Bill Text - AB-2013 Generative artificial intelligence: training data transparency
25 See Bill Text - AB-3030 Health care services: artificial intelligence
26 See Bill Text - AB-2602 Contracts against public policy: personal or professional services: digital replicas
27 See Generative Artificial Intelligence Accountability Act
28 See Safe and Secure Innovation for Frontier Artificial Intelligence Models Act
29 See California Consumer Privacy Act
30 See Draft Automated Decisionmaking Technology Regulations
31 See An Act concerning AI, automated decision-making and personal data privacy
32 See An Act relating to the creation of the AI council
33 See Convention text here
34 See EEOC-CRT-FTC-CFPB-AI-Joint-Statement
35 See California Consumer Privacy Act of 2018
36 See 740 ILCS 14/ Biometric Information Privacy Act
37 See THALER v. PERLMUTTER
38 See here
39 See An Act relating to the creation of the AI council
40 See An Act concerning personal data privacy and online monitoring
41 See California Consumer Privacy Act of 2018
42 See California Consumer Privacy Act of 2018: personal information
43 See Consumer privacy: sensitive personal information: neural data
44 See Model - Innovation, Cybersecurity, and Technology (H) Working Group
45 See The New York City Council File
46 See DCWP - Automated Employment Decision Tools (AEDT)
47 See Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
48 See Joint Statement
49 See Stipulated Order For Permanent Injunction and Other Relief
50 See Colorado AI Act
White & Case means the international legal practice comprising White & Case LLP, a New York State registered limited liability partnership, White & Case LLP, a limited liability partnership incorporated under English law and all other affiliated partnerships, companies and entities.
This article is prepared for the general information of interested persons. It is not, and does not attempt to be, comprehensive in nature. Due to the general nature of its content, it should not be regarded as legal advice.
© 2024 White & Case LLP