Legal regulation of artificial intelligence

Key findings from this study

This research indicates that:

• Russia's current artificial intelligence regulations contain significant legislative gaps limiting technology governance effectiveness.
• Existing regulatory instruments including technical standards and ethics codes operate as disconnected frameworks rather than integrated legal architecture.
• Critical gaps exist regarding data quality verification, participant rights protection, and intellectual property safeguards in digital systems.

Overview

This article examines the legal regulation of artificial intelligence in Russia, identifying legislative gaps and proposing development pathways for specialized federal law. The analysis encompasses existing regulatory instruments including GOST R 59898 standards and ethics codes while assessing deficiencies in the current legal framework.

Methods and approach

The article analyzes regulations governing artificial intelligence, identifies key legislative gaps, and evaluates specific problems emerging from technology deployment in legal and digital contexts.

Results

Current Russian regulations lack integrated mechanisms for quality control and data reliability verification. The existing framework fails to establish adequate protections for digital space participants' rights and intellectual property safeguards. Legislative gaps persist across critical operational domains where artificial intelligence technologies interface with legal systems and data governance requirements.

The analysis reveals that existing regulatory instruments, while foundational, require substantial development to address emerging technological challenges. Proposed specialized federal legislation must address data protection mechanisms, intellectual property frameworks, and participant rights within digital ecosystems. The regulatory landscape currently operates through fragmented standards rather than coherent statutory architecture.

Implications

The absence of comprehensive legal mechanisms for artificial intelligence regulation creates institutional uncertainty for technology deployment across Russian digital sectors. Specialized federal legislation becomes necessary to establish uniform standards for technology governance and participant protection. Harmonizing regulatory frameworks with international norms may facilitate cross-border technology collaboration and institutional alignment.

Legal practitioners and technology developers require clarified statutory parameters to operationalize artificial intelligence systems responsibly. Establishing quality control mechanisms and data reliability standards constitutes a prerequisite for institutional confidence in automated decision-making systems. The regulatory development process should incorporate expertise from information technology specialists, legal scholars, and digital transformation practitioners.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.