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.
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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. The EU is also implementing the first comprehensive horizontal legal framework for the regulation of AI systems across EU Member States (the EU AI Act is addressed in more detail here: AI watch: Global regulatory tracker - European Union, and you can read our EU AI Act Handbook here).
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.
Despite congressional activity on AI in Colombia, regulation remains unclear and uncertain.
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.
Hong Kong lacks comprehensive AI legislative framework but is developing sector-specific guidelines and regulations, and investing in AI.
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.
Kazakhstan enacts its first dedicated AI law, establishing a risk-based oversight framework covering owners, operators, and users of AI systems. The Digital Code adds a parallel layer of digital regulation applicable to AI systems as digital objects.
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 has been promulgated as the fundamental body of law governing AI.
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 AI resolutions encourage Member States to adopt national rules to establish safe, secure and trustworthy AI systems and create forums to advance global cooperation, scientific understanding, and share best practices.
The US relies on existing federal laws and guidelines to regulate AI but aims to introduce AI legislation and a federal regulation authority.
Kazakhstan enacts its first dedicated AI law, establishing a risk-based oversight framework covering owners, operators, and users of AI systems. The Digital Code adds a parallel layer of digital regulation applicable to AI systems as digital objects.
There are two key legal acts relating to AI in Kazakhstan:
Both principal instruments are at different stages of implementation. The AI Law is in force, and its subordinate regulatory framework is being progressively built out, while the Digital Code has been enacted but does not yet apply:
There are various laws that do not directly seek to regulate AI but may affect the development or use of AI in Kazakhstan. A non-exhaustive list of key examples includes:
Artificial intelligence is defined as "the functional ability to imitate cognitive functions characteristic of humans, providing results comparable to or exceeding the results of human intellectual activity".2
Both the AI Law and the Digital Code apply within the territory of the Republic of Kazakhstan. Under the Digital Code, foreign and stateless persons conducting activities in the digital environment on the territory of Kazakhstan are subject to the same rights and obligations as Kazakhstan's citizens and legal entities, unless otherwise provided by the Constitution, the Digital Code, the laws of Kazakhstan, or ratified international treaties.
The AI Law and the Digital Code are not sector specific. The Government of Kazakhstan approves a list of priority economic sectors for AI implementation. This pre-approved list determines which sectors receive access to the computing resources of the National AI Platform and benefit from state support measures.
Under the AI Law, three primary compliance roles are established:
Under the Digital Code, additional obligations apply to AI systems as digital objects: owners and/or holders of digital objects (including AI systems) must observe the rights, freedoms, and lawful interests of third parties; ensure reliability, integrity, protection, and cybersecurity of the digital system; and comply with personal data protection requirements. Users of digital objects have the right to receive accurate information about the characteristics and risks of the digital object. State bodies and organizations must ensure the transparency, openness, and justification of decisions taken using digital technologies, including AI systems.
The AI Law aims to ensure AI development and stimulate its implementation across sectors to improve quality of life and economic efficiency. Core issues addressed include:
The AI Law also addresses prohibited AI applications, including systems that manipulate behavior, exploit physical or moral vulnerabilities, conduct unauthorized social scoring, unlawfully process personal data, classify individuals based on biometric data for discriminatory purposes, determine emotions without consent, or create and distribute outputs prohibited under Kazakhstan law.
The Digital Code addresses AI-related concerns as part of broader digital regulation. Key AI-adjacent issues addressed include:
Under the AI Law, a two-dimensional risk framework applies:
Under the Digital Code, AI systems qualifying as critically important digital objects are subject to a parallel risk regime. A critically important digital object is one whose disruption or cessation leads to: unlawful collection and processing of restricted-access personal data; a social and/or technogenic emergency; or significant negative consequences for defense, security, international relations, the economy, specific sectors, or population livelihoods.6 High-risk AI systems under the AI Law will frequently meet this definition, making them subject to mandatory cybersecurity compliance and audit obligations under the Digital Code.
There are a number of compliance requirements under the AI Law, including:
Under the Digital Code, additional requirements apply to AI systems as digital objects:
Under the AI Law, the key regulators are:
The authorized body in the AI sphere:31 the Ministry of Artificial Intelligence and Digital Development of the Republic of Kazakhstan, which is the central executive body responsible for leadership and inter-sectoral coordination in the field of AI. Its powers include strategic, regulatory, implementation, and supervisory functions; forming state AI policy; developing and approving AI-sector normative legal acts; approving the list of required AI system documentation; and approving criteria for classifying informatization objects as AI systems.32
The Government of the Republic of Kazakhstan:33 Develops key AI policy directions, designates the National AI Platform operator, and approves the list of priority economic sectors for AI implementation.34
Sector-specific state bodies:35 Participate in implementing AI policy within their fields of competence,36 and compile and publish sector-specific lists of trusted high-risk AI systems.37
The National AI Platform Operator:38 A designated legal entity responsible for ensuring the development and functioning of the National AI Platform.
Under the Digital Code, the key regulators are:
The authorized body in the digitalization sphere:39 the Ministry of Artificial Intelligence and Digital Development of the Republic of Kazakhstan, which is the central executive body responsible for leadership and inter-sectoral coordination in the field of digitalization, exercising strategic, regulatory, implementation, and supervisory functions over the digital environment, including digital systems (which encompass AI systems).
The Architectural Coordination Center:40 A legal entity designated by the Government, responsible for ensuring the integrity, compatibility, and effectiveness of the digital architecture of state bodies. The Center expressly participates in implementing state policy in the sphere of digitalization and artificial intelligence;41 participates in developing standardization documents in the sphere of artificial intelligence;42 and provides consulting, methodological, and practical assistance to state bodies in the area of artificial intelligence.43
Specific administrative sanctions are set out in Article 641-1 of the Code of Administrative Offenses of the Republic of Kazakhstan. The following two categories of conduct are subject to administrative liability:
Penalties:
| Natural persons | Small business/non-profit organizations | Medium-sized business entities | Large business entities | |
| First offense | 15 MCI* (~US$130)** | 20 MCI (~US$173) | 30 MCI (~US$260) | 100 MCI (~US$865) |
| Repeat offense within one year | 30 MCI (~US$260) | 50 MCI (~US$433) | 70 MCI (~US$606) | 200 MCI (~US$1,730) and with suspension or prohibition of AI system activity |
| * Monthly Calculation Index (MCI) = KZT 4,325 for 2026 ** US$ equivalents are approximate and indicative only, based on an exchange rate of ~ KZT 500 per US$1 as of March 2026. Compensation for harm caused by AI systems is governed by general rules of the Civil Code of Kazakhstan.44 | ||||
1 Order of the Prime Minister of the Republic of Kazakhstan No. 2-r dated 14 January 2026 "On Measures for Implementation of the Laws of the Republic of Kazakhstan dated 17 November 2025 'On Artificial Intelligence' and 'On Amendments and Additions to Certain Legislative Acts of the Republic of Kazakhstan on Artificial Intelligence and Digitalisation'"
2 Article 1(3) of the AI Law.
3 Art. 17(1) of the AI Law.
4 Art. 19(1) of the AI Law.
5 Art. 17(2) of the AI Law.
6 Art. 33(1) of the Digital Code.
7 Art. 7(1) of the AI Law.
8 Art. 7(2) of the AI Law.
9 Art. 21(1) of the AI Law.
10 Art. 21(2) of the AI Law.
11 Art. 21(3) of the AI Law.
12 Art. 18(1) of the AI Law.
13 Art. 18(2) of the AI Law.
14 Art. 20(1) of the AI Law.
15 Art. 20(2) of the AI Law.
16 Art. 10 of the AI Law.
17 Art. 21(4) of the AI Law.
18 Art. 24(1) of the AI Law.
19 Art. 24(2) of the AI Law.
20 Art. 8(2) of the AI Law.
21 Art. 23(1) of the AI Law.
22 Art. 23(5) of the AI Law.
23 Art. 22(1) of the AI Law.
24 Art. 43(2) of the Digital Code.
25 Art. 43(3)-(4) of the Digital Code.
26 Art. 67(3) of the Digital Code.
27 Art. 97(1)-(2) of the Digital Code.
28 Art. 99(1) of the Digital Code.
29 Art. 100(4) of the Digital Code.
30 Art. 13(1) of the Digital Code.
31 Arts. 1(10), 13 of the AI Law.
32 Art. 13(1) of the AI Law.
33 Art. 12 of the AI Law.
34 Art. 12 of the AI Law.
35 Arts. 13(2), 19(1) of the AI Law.
36 Arts. 13(2) of the AI Law.
37 Art. 19(1) of the AI Law.
38 Art. 14 of the AI Law.
39 Art. 14 of the Digital Code.
40 Art. 72 of the Digital Code.
41 Art. 72(2)(1) of the Digital Code.
42 Art. 72(2)(14) of the Digital Code.
43 Art. 72(2)(10) of the Digital Code.
44 Art. 24(1) of the AI Law.
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