Russia - Moscow - AI Development Experiment (123-FZ/2020)

Overview

The Federal Law No. 123-FZ, enacted on April 24, 2020, marks a significant legislative initiative by the Russian Federation to stimulate the advancement of artificial intelligence (AI) technologies within a controlled environment. Specifically, this law establishes an experimental legal regime (EPR) exclusively for the federal city of Moscow, setting a precedent for regulatory innovation in the digital sphere. The primary objective of this experimental framework is to create optimal conditions for the research, development, and practical implementation of AI technologies, thereby fostering a dynamic ecosystem for digital innovation. The law recognizes the rapid pace of technological change and the inherent challenges in regulating nascent technologies with existing legal frameworks. By establishing a 'regulatory sandbox' in Moscow, the government aims to gather practical experience and data on the real-world implications of AI, which will subsequently inform the development of more comprehensive and adaptive national regulations. This strategic approach allows for flexibility and iterative refinement of legal norms, ensuring that regulation keeps pace with technological progress without stifling innovation.

The experimental legal regime commenced on July 1, 2020, and is slated to run for a period of five years. During this time, participants in the regime benefit from special regulatory conditions that may deviate from general legal norms, particularly in areas where existing legislation might impede AI development. A crucial aspect of this law is its explicit focus on addressing the complexities of personal data processing in the context of AI. Recognizing that AI systems often rely on vast amounts of data, including personal data, the law includes provisions for the unique handling of such information, and importantly, introduces amendments to Articles 6 and 10 of the Federal Law 'On Personal Data'. These amendments are designed to facilitate data access and processing for experimental purposes while maintaining necessary safeguards for individual privacy. The law's scope extends beyond merely enabling technological development; it also seeks to improve the quality of life for the population, enhance the efficiency of public and municipal administration, and increase the effectiveness of business entities through the application of AI.

Definitions

For the purposes of Federal Law No. 123-FZ, several key terms are defined to delineate the scope and operational parameters of the experimental legal regime. The central concept is the 'Experimental Legal Regime (EPR)' itself, which refers to the application of special regulation over a specified period to participants within the federal city of Moscow. This special regulation is designed to create the necessary conditions for the development and implementation of artificial intelligence technologies, as well as the subsequent potential use of the results derived from AI applications. The EPR acts as a controlled environment where innovative AI solutions can be tested and refined without being fully constrained by the entirety of existing general legislation, allowing for a more agile regulatory response to emerging technologies.

Another critical definition is 'AI Technologies', which encompasses the various systems, methods, and applications of artificial intelligence that are the subject of development and implementation within this experimental framework. While the law does not provide an exhaustive technical definition, it implies a broad understanding of AI, focusing on its practical application and potential societal impact. 'Special Regulation' is defined as normative legal regulation that differs from general regulation and is established by the program of the experimental legal regime specifically for its participants, for a certain term, and potentially within a specified territory. This distinction is fundamental to the 'sandbox' approach, enabling tailored legal conditions. 'Participants of the Experimental Legal Regime' are identified as legal entities or individual entrepreneurs registered in Moscow who are actively engaged in the development and implementation of AI technologies or provide services based on such technologies, and who have been officially included in a dedicated register. Furthermore, the law outlines the roles of an 'Authorized Body' – a federal executive body empowered by the Russian Federation Government to oversee regulatory functions and powers related to EPRs – and a 'Coordinating Council', an advisory body responsible for shaping strategic directions and monitoring the effectiveness of the experimental regime.

Governance and Institutional Framework

The governance structure for the Moscow AI Experimental Regime is designed to ensure effective oversight, strategic guidance, and responsive regulation. At its core, the framework involves the highest executive body of the federal city of Moscow, which is granted specific powers to establish and manage the experimental legal regime in accordance with Federal Law No. 123-FZ. This includes the authority to adopt normative legal acts that define the conditions, procedures, and requirements for the development and implementation of AI technologies within the experimental framework. These acts are specifically tailored to the participants of the EPR and apply only to those entities officially registered within the regime. The localized nature of this authority allows for a more agile and context-specific regulatory approach, adapting to the unique needs and challenges of AI development in Moscow.

A key institutional component is the 'Coordinating Council of the Experimental Legal Regime'. This council is established with the crucial mandate of forming strategic directions for improving the mechanisms of the EPR. Its responsibilities extend to monitoring the progress and impact of the experimental regime, providing recommendations for potential amendments to existing legislation, and facilitating dialogue among stakeholders. The council plays a vital advisory role, ensuring that the insights gained from the experimental phase are effectively translated into policy recommendations for broader national AI regulation. Furthermore, an 'Authorized Body', typically a federal executive body designated by the Russian Government, is responsible for the overall regulatory functions and powers associated with experimental legal regimes, including maintaining the register of participants and overseeing their compliance with the special regulations. This multi-layered governance approach, involving both regional executive power and federal oversight, aims to balance localized flexibility with national strategic alignment.

Key Focus Areas

Federal Law No. 123-FZ primarily focuses on several critical areas to facilitate the development and deployment of AI technologies within the Moscow experimental legal regime. A paramount focus is on 'innovation support', aiming to create a fertile ground for AI startups and established companies to test and implement their solutions without the full burden of existing regulations that might not be suitable for rapidly evolving digital innovations. This involves streamlining administrative procedures, providing legal clarity for experimental activities, and fostering an environment conducive to technological breakthroughs. The law is a direct response to the need for regulatory flexibility to accelerate the adoption of AI in various sectors, contributing to Russia's broader 'Digital Economy' national program.

Another significant focus area is 'data protection and privacy', particularly concerning the processing of personal data. The law acknowledges that AI systems often require extensive datasets, including sensitive personal information, for training and operation. To address this, it introduces specific provisions for the processing of personal data, especially data that has been depersonalized, within the experimental regime. This includes amendments to Articles 6 and 10 of the Federal Law 'On Personal Data', allowing for the use of such data for experimental purposes under controlled conditions. The aim is to strike a balance between enabling AI innovation that relies on data and safeguarding individual privacy rights. Furthermore, the law emphasizes 'safety, testing, and evaluation' by establishing a framework for the approbation of AI technologies and their applications. This 'regulatory sandbox' approach allows for the controlled testing of AI systems in real-world scenarios, facilitating the identification and mitigation of potential risks before widespread deployment. The insights gained from these experimental trials are crucial for informing future regulatory decisions and ensuring the responsible development of AI.

Implementation Framework

The implementation framework for the Moscow AI Experimental Regime is meticulously structured to ensure a systematic and controlled approach to fostering AI innovation. The core mechanism involves the establishment of a 'special regulation' that applies exclusively to the participants of the experimental legal regime. This special regulation, which deviates from general legal norms, is defined and approved through normative legal acts issued by the highest executive body of the federal city of Moscow, in accordance with Federal Law No. 123-FZ. These acts detail the specific conditions, requirements, and operational procedures for developing, testing, and implementing AI technologies within the designated sandbox. The framework is designed to be flexible, allowing for adjustments to the special regulation as new insights emerge from the experimental activities, thereby promoting an adaptive regulatory environment.

Participation in the experimental regime is contingent upon meeting specific criteria and undergoing an application process. Legal entities or individual entrepreneurs based in Moscow, who are involved in the development or application of AI technologies, must apply to an authorized body for inclusion in a special register of participants. This application typically involves detailing the proposed AI project, outlining the specific regulatory deviations required, and presenting a comprehensive risk assessment along with mitigation measures. The authorized body, in consultation with the Coordinating Council, evaluates these proposals to ensure alignment with the law's objectives and the minimization of potential harms. Once approved and registered, participants operate under the special regulation for the duration of the five-year experimental period. The framework also mandates ongoing monitoring and evaluation of the experimental activities, with participants required to submit reports on their progress and the outcomes of their AI applications. This continuous feedback loop is essential for assessing the effectiveness of the special regulation and for informing future legislative reforms.

Monitoring and Evaluation

Monitoring and evaluation are integral components of the Moscow AI Experimental Regime, designed to systematically track the progress, effectiveness, and impact of the special regulatory framework. The law establishes mechanisms to continuously assess whether the experimental legal regime is achieving its stated goals, such as improving the quality of life, increasing the efficiency of public administration, and boosting the effectiveness of business entities through AI technologies. This ongoing oversight is crucial for understanding the real-world implications of AI development and for identifying areas where the regulatory framework may need adjustment. The Coordinating Council, an advisory body established under the law, plays a significant role in this process by forming strategic directions for monitoring and providing recommendations based on its findings.

Participants in the experimental regime are typically required to submit regular reports on their activities, the performance of their AI technologies, and any challenges or unforeseen consequences encountered. These reports serve as primary data sources for the monitoring efforts, providing granular insights into the practical application of AI under special regulation. The authorized body responsible for overseeing the EPR collects and analyzes this information, often in collaboration with relevant expert organizations. The evaluation process extends beyond mere compliance checking; it involves a qualitative and quantitative assessment of the regime's contribution to innovation, economic growth, and societal well-being. The findings from this comprehensive monitoring and evaluation framework are intended to inform policy decisions, including potential amendments to general legislation, thereby ensuring that Russia's regulatory landscape for AI evolves in an evidence-based and responsive manner. The five-year duration of the experiment provides a substantial period for robust data collection and analysis, allowing for a thorough understanding of the long-term impacts of the special regulation.

Penalties, Liability, and Appeals

Federal Law No. 123-FZ, while primarily focused on enabling innovation through experimental legal regimes, also addresses the critical aspects of accountability, liability, and dispute resolution within this specialized framework. Although the law itself does not detail specific new penalties for violations unique to the experimental regime, it operates within the broader Russian legal system. This implies that participants in the EPR remain subject to existing civil, administrative, and criminal liability for actions that fall outside the scope of the special regulation or constitute breaches of the conditions set forth for their participation. The special regulation established for each participant is expected to clearly define their obligations and the boundaries within which they operate, and any deviation or harm caused by non-compliance would likely be addressed under general legal principles.

The law outlines conditions under which a participant may be excluded from the register of the experimental legal regime. These conditions include the voluntary termination of participation, the liquidation or reorganization of a legal entity, the provision of knowingly false information during the application process, or a failure to comply with the requirements of the Federal Law and associated normative legal acts. Such exclusion effectively removes the participant from the protective umbrella of the special regulation, subjecting them fully to general legal norms. In terms of appeals, participants would typically have recourse through administrative and judicial channels available under Russian law to challenge decisions made by the authorized body, such as refusal of inclusion in the register or exclusion from the regime. The establishment of a Coordinating Council also implies a mechanism for addressing strategic issues and potentially mediating disputes, though formal appeals would likely follow established legal procedures. The emphasis is on balancing the flexibility needed for innovation with robust mechanisms for accountability and redress.

Relationship to Other Instruments

The Moscow AI Experimental Regime Law (Federal Law No. 123-FZ) operates within a broader ecosystem of Russian legal and strategic instruments related to digital innovation and artificial intelligence. It is intricately linked with, and designed to complement, other key federal laws and governmental strategies. Notably, this law builds upon the foundational principles and objectives outlined in the 'National Strategy for the Development of Artificial Intelligence until 2030', which sets the overarching vision for AI development in the Russian Federation. The experimental regime serves as a practical mechanism for testing and refining approaches to achieve the strategic goals articulated in such national documents.

Furthermore, Federal Law No. 123-FZ has a direct relationship with the broader Federal Law No. 258-FZ of July 31, 2020, 'On experimental legal regimes in the field of digital and technological innovations in the Russian Federation'. While Law No. 123-FZ specifically targets AI in Moscow, Law No. 258-FZ provides a general framework for establishing experimental legal regimes across various sectors of digital innovation throughout Russia. The Moscow law can be seen as a specialized application or an early, focused implementation of the 'regulatory sandbox' concept that was later generalized by Law No. 258-FZ. Both laws share the common objective of creating favorable conditions for innovation by providing temporary deviations from general regulation. Crucially, Law No. 123-FZ also directly amends Articles 6 and 10 of the Federal Law 'On Personal Data', indicating a deliberate effort to adapt existing data protection legislation to the unique requirements of AI development within the experimental regime, thereby ensuring legal consistency and addressing data-related challenges proactively.

International Alignment

While Federal Law No. 123-FZ is a domestic Russian legal instrument specifically tailored for the city of Moscow, its underlying principles and objectives resonate with global trends in AI governance and regulatory innovation. The establishment of a 'regulatory sandbox' for AI reflects an approach adopted by numerous jurisdictions worldwide to foster technological development while managing associated risks. Many countries and international bodies, such as the European Union and the OECD, have explored or implemented similar experimental frameworks to allow for controlled testing of emerging technologies, recognizing the limitations of traditional, rigid regulatory models in addressing rapid technological advancements.

The law's emphasis on balancing innovation with data protection, particularly through amendments to personal data legislation, aligns with international discourse on responsible AI development. Concerns regarding privacy, data security, and ethical AI use are universal, and the Russian approach of creating specific provisions for data processing within the experimental regime reflects an awareness of these global challenges. Although the law does not explicitly detail mechanisms for international cooperation or alignment with specific international standards, its existence contributes to the global landscape of AI regulation by providing a case study of a national approach to fostering AI innovation. The experiences and lessons learned from the Moscow experimental regime could potentially inform broader international discussions on best practices for AI governance, particularly concerning regulatory sandboxes and data handling in innovative contexts.

Implementation Timeline

Sources and References