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AI Watch: Global regulatory tracker

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Keeping track of AI regulatory developments around the world.

The global dash to regulate AI

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:

  1. "AI" means different things in different jurisdictions: One of the foundational challenges that any international business faces when designing an AI regulatory compliance strategy is figuring out what constitutes "AI." Unfortunately, the definition of AI varies from one jurisdiction to the next. For example, the EU AI Act adopts a definition of "AI systems" that is based on (but is not identical to) the OECD's definition, and which leaves room for substantial doubt due to its uncertain wording. Canada has proposed a similar, though more concise, definition. Various US states have proposed their own definitions, which differ from one another. And many jurisdictions (e.g., the UK, Israel, China, and Japan) do not currently provide a comprehensive definition of AI. Because several of the proposed AI regulations have extraterritorial effect (meaning more than one AI regulation may apply simultaneously), international businesses may be forced to adopt a "highest common denominator" approach to identifying AI based on the strictest applicable standard.
  2. Emerging AI regulations come in different forms: The various emerging AI regulations have no consistent legal form – some are statutes, some are executive orders, some are expansions of existing regulatory frameworks, and so on. The EU AI Act is a "Regulation" (which means that most of it will apply directly in all EU Member States, without the need for national implementation in most cases). The UK has taken a different approach, declining to legislate at this early stage in the development of AI, and instead choosing to task existing UK regulators with the responsibility of interpreting and applying five AI principles in their respective spheres. In the US, there is a mix of White House Executive Orders, federal and state initiatives, and actions by existing regulatory agencies, such as the Federal Trade Commission. As a result, the types of compliance obligations that international businesses face are likely to be materially different from one jurisdiction to the next. Many other jurisdictions have yet to decide whether they will issue sector-specific or generally applicable rules and have yet to decide between creating new regulators or expanding the roles of existing regulators, making it challenging for businesses to anticipate what form their AI regulatory relationships will take in the long term.
  3. Emerging AI regulations have different conceptual approaches: The next difficulty is the lack of a consistent conceptual approach among emerging AI regulations around the world – some are legally binding while others are not, some are sector-specific while others apply across all sectors, some will be enforced by regulators while others are merely guidelines or recommendations, and so on. As noted above, the UK approach is to use existing regulators to implement five AI principles, but with no new explicit legal obligations. This has the advantage of meaning that businesses will deal with AI regulators with whom they are already familiar but has the disadvantage that different UK regulators may interpret these principles differently in their respective spheres. The EU AI Act is cross-sectoral and creates new regulatory and enforcement powers for existing bodies, including the European Commission, and also creates entirely new bodies such as the AI Board and the AI Office, while leaving EU Member States to appoint their own AI regulators tasked with enforcing the EU AI Act. In the US, the Federal Trade Commission, Equal Employment Opportunity Commission, Consumer Financial Protection Bureau, and Department of Justice issued a joint statement clarifying that their existing authority covers AI, while various state regulators are also likely to have competence to regulate AI. International organizations including the OECD, the UN, and the G7 have issued AI principles, but these impose no legal obligations on businesses. In principle, these initiatives encourage consistency across members of each organization, but in practice this does not seem to have worked.
  4. Flexibility is a double-edged sword: In an effort to create AI regulations that can adapt to technological advances that have not yet been anticipated, many jurisdictions have sought to include substantial flexibility in those regulations, either by using deliberately high-level wording and policies, or by allowing for future interpretation and application by courts and regulators. This has the obvious advantage of prolonging the lifespan of such regulations by allowing them to be adapted to future technologies. However, it also creates the disadvantage of uncertainty because it leaves businesses uncertain of how their compliance obligations will be interpreted in the future. This is likely to mean that it is harder for businesses to know whether their planned implementations of AI will be lawful in the medium-to-long term and may make it harder to attract long-term AI investment in those jurisdictions.
  5. The overlap between AI regulation and other areas of law is complex: A substantial number of laws that are not directly focused on AI nevertheless apply to AI by association within their respective spheres, meaning that any use of AI will often trigger compliance issues and legal challenges even where there is not (yet) any enforceable AI-specific law. These areas of overlap include: IP (e.g., IP infringement issues with respect to AI model training data, and questions about copyright and patentability of AI-assisted inventions); antitrust; data protection (which adds restrictions to processing of personal data, and in some cases imposes special compliance obligations for processing carried out by automated means, including by AI); M&A (where AI innovation is driving dealmaking in many markets); financial regulation (where financial regulatory requirements may limit the ways in which AI can lawfully be deployed); litigation; digital infrastructure; securities; global trade; foreign direct investment; mining & metals; and so on. This overlap will mean that many businesses need to understand not just AI regulations in general, but also any rules that affect the use of AI in the context of the relevant sector or business activity.

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.

Articles

African Union

The African Union's Continental AI Strategy sets the stage for a unified approach to AI governance across the continent.

Africa Union

Australia

Voluntary AI Ethics Principles guide responsible AI development in Australia, with potential reforms under consideration.

Australia

Brazil

The enactment of Brazil's proposed AI Regulation remains uncertain with compliance requirements pending review.

Sao Paulo

Canada

AIDA expected to regulate AI at the federal level in Canada but provincial legislatures have yet to be introduced.

Canada

China

The Interim AI Measures is China's first specific, administrative regulation on the management of generative AI services.

China

Colombia

Despite congressional activity on AI in Colombia, regulation remains unclear and uncertain.

Colombia

Council of Europe

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.

European Union

Czech Republic

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.

Czech Republic

European Union

The EU introduces the pioneering EU AI Act, aiming to become a global hub for human-centric, trustworthy AI.

 

European Union

France

France actively participates in international efforts and proposes sector-specific laws.

Paris

G7

The G7's AI regulations mandate Member States' compliance with international human rights law and relevant international frameworks.

G7 flags

Germany

Germany evaluates AI-specific legislation needs and actively engages in international initiatives.

Germany

Hong Kong

Hong Kong lacks comprehensive AI legislative framework but is developing sector-specific guidelines and regulations, and investing in AI.

Photo of Hong Kong

India

National frameworks inform India’s approach to AI regulation, with sector-specific initiatives in finance and health sectors.

India

Israel

Israel promotes responsible AI innovation through policy and sector-specific guidelines to address core issues and ethical principles.

Israel

Italy

Italy engages in political discussions for future laws.

Milan

Japan

Japan adopts a soft law approach to AI governance but lawmakers advance proposal for a hard law approach for certain harms.

Tokyo

Kazakhstan

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.

Kazakhstan

Kenya

Kenya's National AI Strategy and Code of Practice expected to set foundation of AI regulation once finalized.

Kenya
Kenya

Nigeria

Nigeria's draft National AI Policy underway and will pave the way for a comprehensive national AI strategy.

Nigeria
Nigeria

Norway

Position paper informs Norwegian approach to AI, with sector-specific legislative amendments to regulate developments in AI.

Norway

OECD

The OECD's AI recommendations encourage Member States to uphold principles of trustworthy AI.

country flags

Saudi Arabia

Saudi Arabia is yet to enact AI Regulations, relying on guidelines to establish practice standards and general principles.

Riyadh_Hero_1600x600 Saudi Arabia

Singapore

Singapore's AI frameworks guide AI ethical and governance principles, with existing sector-specific regulations addressing AI risks.

Singapore

South Africa

South Africa is yet to announce any AI regulation proposals but is in the process of obtaining inputs for a draft National AI plan.

Johannesburg

South Korea

South Korea's AI Act has been promulgated as the fundamental body of law governing AI.

Korea

Spain

Spain creates Europe's first AI supervisory agency and actively participates in EU AI Act negotiations.

Madrid

Switzerland

Switzerland's National AI Strategy sets out guidelines for the use of AI, and aims to finalize an AI regulatory proposal in 2025.

Switzerland

Taiwan

Draft laws and guidelines are under consideration in Taiwan, with sector-specific initiatives already in place.

Taiwan city

Turkey

Turkey has published multiple guidelines on the use of AI in various sectors, with a bill for AI regulation now in the legislative process.

Türkiye

United Arab Emirates

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.

UAE

United Kingdom

The UK prioritizes a flexible framework over comprehensive regulation and emphasizes sector-specific laws.

London hero image

United Nations

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.

United Nations

United States

The US relies on existing federal laws and guidelines to regulate AI but aims to introduce AI legislation and a federal regulation authority.

New York city photo

Contacts

Tim Hickman
Partner
| London
Erin Hanson
Partner
| New York
Dr. Sylvia Lorenz
Partner
| Berlin
Kazakhstan

Global regulatory tracker - Kazakhstan

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.

Insight
|
14 min read

Laws/Regulations directly regulating AI (the “AI Regulations”)

There are two key legal acts relating to AI in Kazakhstan:

  • The Digital Code of the Republic of Kazakhstan No. 255-VIII (the "Digital Code") provides the broader digital environment framework within which AI systems operate as digital objects and digital systems, and contains directly AI-relevant provisions on algorithmic systems, automated decisions, etc.
  • Law of the Republic of Kazakhstan No. 230-VIII "On Artificial Intelligence" (the "AI Law") establishes a comprehensive framework for AI development and oversight, as well as the rights and obligations of AI system owners, operators, and users.

Status of the AI Regulations 

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:

  • The AI Law: In force. Enacted on 17 November 2025; entered into force on 18 January 2026. On 14 January 2026, the Prime Minister of Kazakhstan issued its Order1 approving an implementation plan that identifies a number of subordinate legal acts to be adopted or amended. A number of these acts, such as Order of the Deputy Prime Minister - Minister of Artificial Intelligence and Digital Development of the Republic of Kazakhstan "On Approval of the Criteria for Classifying Informatization Facilities as Artificial Intelligence Systems" dated 1 April 2026, Order of the Deputy Prime Minister - Minister of Artificial Intelligence and Digital Development of the Republic of Kazakhstan "On Approval of the Rules for Development, Use and Distribution of Machine-Readable Forms" dated 15 April 2026 (not in force) have been adopted, but some legal acts are still in the process of being developed and adopted, and the overall regulatory framework is expected to consolidate progressively through 2026.
  • The Digital Code: Not yet in force. Enacted on 9 January 2026; enters into force on 11 July 2026.

Other laws affecting AI

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:

  • Civil Code of the Republic of Kazakhstan (General Part) No. 268-XIII dated 27 December 1994
  • Civil Code of the Republic of Kazakhstan (Special Part) No. 409-I dated 1 July 1999
  • Code of Administrative Offenses of the Republic of Kazakhstan
  • Code of the Republic of Kazakhstan No. 375-V "Entrepreneurial Code of the Republic of Kazakhstan" dated 29 October 2015
  • Law of the Republic of Kazakhstan No. 94-V "On Personal Data and Their Protection" dated 21 May 2013
  • Law of the Republic of Kazakhstan No. 418-V "On Informatization" dated 24 November 2015

Definition of “AI”

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

Territorial scope

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.

Sectoral scope

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.

Compliance roles 

Under the AI Law, three primary compliance roles are established:

  1. Owners and holders: must manage AI system risks; take measures to ensure security and reliability, including protection from unauthorized access and failures; maintain documentation proportionate to impact on safety, rights, and public order; provide user support; and give users access to the user agreement before use commences. They must ensure continuous oversight across all stages of the AI system lifecycle.
  2. Users: a user is a person using an AI system to perform a specific function and/or task. Users have the right to: review the user agreement; have personal data protected; protect intellectual property rights in AI-generated outputs; receive explanations about AI decisions affecting their rights; request information on data underlying decisions; and decline AI interaction where not legally mandatory. Users must use AI systems only within granted access rights and comply with established safety rules.
  3. Operator of the National AI Platform: a designated legal entity responsible for the development and functioning of the National AI Platform, including creating, developing, and operating the Platform; providing AI services; collecting, processing, and storing data libraries; and developing platform software products and AI models.

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.

Core issues that the AI Regulations seek to address

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:

  • Establishing the legal and institutional framework for AI regulation
  • Ensuring transparency and safety in the use of AI systems and their outputs
  • Creating favorable conditions for attracting investment in AI development
  • Providing state support for AI research and innovation

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:

  • Non-discrimination in algorithmic and automated decisions
  • Human oversight of fully automated algorithmic decisions
  • Digital ethics, including prevention of manipulation and abuse of digital technologies
  • Safety of persons, society, and the state in the application of digital technologies including AI
  • Biometric data protection in AI-powered authentication systems
  • Human-in-the-loop requirements for smart contract dispute resolution
  • Quality and lawfulness audits of AI system data libraries

Risk categorization

Under the AI Law, a two-dimensional risk framework applies: 

  1. Risk level by impact on safety. AI systems are classified into three tiers:
    • Minimal risk: failure would have minimal impact on users
    • Medium risk: failure could reduce user effectiveness and cause moral harm or material damage
    • High-risk: failure could lead to a social or man-made emergency situation and/or significant adverse consequences for defense, security, international relations, the economy, specific economic sectors, users, infrastructure, or individuals' livelihoods. Classification is performed by the owner and/or holder in accordance with informatization object classification rules.3 Sector-specific state bodies compile and publish lists of trusted high-risk AI systems. Owners and holders seeking inclusion must conduct an AI system audit.4
  2. Autonomy level based on decision-making independence. AI systems are also classified by autonomy:
    • Low autonomy: automated data processing and recommendations, with all final decisions made by a human
    • Medium autonomy: autonomous processing and decision-making, where human correction or cancellation remains possible
    • High autonomy: autonomous processing and decision-making where human correction or cancellation is fully excluded or technically impossible. Special rules for creating and operating high-autonomy AI systems are to be established by separate Kazakhstani laws.5

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.

Key compliance requirements 

There are a number of compliance requirements under the AI Law, including:

  • Transparency: users must be provided with complete information about the operational characteristics and limitations of an AI system.7 Persons subject to AI-based decisions have the right to be informed about the automated processing procedure and its consequences, and about available means of redress.8 Users must be informed that goods, works, and services are produced or provided using AI systems.9 Synthetic AI outputs may only be distributed if labeled in machine-readable form and accompanied by a visual or other warning perceptible to users.10 Responsibility for informing users about synthetic outputs rests with owners or holders.11
  • Risk management: risk management is a continuous process comprising identification and analysis of known and foreseeable risks; risk assessment under intended and foreseeable misuse conditions; adoption of targeted risk mitigation measures; and regular risk updates at least once per year.12 Where risks of prohibited circumstances are identified, owners and holders must take immediate steps to prevent and minimize harm, including suspension or cessation of the system's operation.13
  • Audits: audits of AI systems are conducted in accordance with rules for auditing information systems.14 Additional audit requirements include assessment of (i) the quality and lawfulness of data libraries used for AI model training; and (ii) the presence of prohibited functional capabilities.15
  • Documentation: owners and holders must maintain documentation on the AI system commensurate with its degree of impact on safety, rights, freedoms, and public order.
  • Data protection: AI systems must be operated in compliance with data protection and confidentiality requirements; unlawful collection, storage, and dissemination of personal data is prohibited; only high-quality, representative datasets obtained in compliance with Kazakhstani law may be used.16 Automated decision-making in respect of personal data is governed by Kazakhstan personal data legislation.17
  • Liability: compensation for harm caused by AI systems is governed by the Civil Code.18 Liability insurance is governed by insurance legislation.19 All entities bear liability in accordance with their respective roles throughout the AI system lifecycle.20
  • Copyright: AI-generated works enjoy copyright protection only where a human creative contribution is present.21 Use of copyrighted works to train AI models is only permitted in the absence of a machine-readable prohibition by the rights-holder.22
  • Machine-readable forms: machine-readable forms must be applied to ensure transparency and accountability, enabling automated recording and recognition of information.23

Under the Digital Code, additional requirements apply to AI systems as digital objects:

  • Non-discrimination in algorithmic decisions: decisions made using algorithmic systems, including AI systems, must not result in discrimination on any grounds established by Kazakhstan law.24
  • Rights in respect of fully automated algorithmic decisions: a fully automated decision is one taken without human participation in assessing the circumstances or approving the result. The subject of such a decision has the right to: (i) be informed of the fact that an algorithmic system was applied; (ii) receive an explanation of the key factors and criteria that influenced the decision, without disclosure of source code or legally protected secrets; and (iii) demand review of the decision with participation of an authorized specialist where the decision has legal consequences or is capable of affecting the person's rights and lawful interests.25
  • Smart contracts – human-in-the-loop: smart contracts, including AI-powered smart contracts, must provide for a dispute resolution procedure in which the final decision is taken by a human.26
  • Cybersecurity of AI systems as digital systems: owners and/or holders of digital systems (including AI systems) must ensure protection against violation of confidentiality, integrity, and availability27. Mandatory cybersecurity testing applies to designated digital objects.28
  • Quality audit of AI systems: the quality audit of AI systems must include assessment of the quality and lawfulness of data libraries used for training AI models, as well as the presence of prohibited functional capabilities, in accordance with the AI Law.29
  • Digital ethics: creation, development, and application of digital technologies, including AI, must comply with the principles of respect for human rights and dignity, non-discrimination, fairness, good faith, transparency, and accountability.30

Regulators

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

Enforcement powers and penalties 

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:

  1. Failure by owners or holders of AI systems to inform users about synthetic AI outputs that may mislead them
  2. Failure by owners or holders to manage risks of high-risk AI systems resulting in harm to health or wellbeing, creation or distribution of prohibited or false information, discrimination, or human rights violations, where the conduct does not constitute a criminal offense.

Penalties:

 Natural personsSmall business/non-profit organizationsMedium-sized business entitiesLarge business entities
First offense15 MCI* (~US$130)**20 MCI (~US$173)30 MCI (~US$260)100 MCI (~US$865)
Repeat offense within one year30 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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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.

© 2026 White & Case LLP

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