AUTOMATION AND ARTIFICIAL INTELLIGENCE IN RUSSIAN EMPLOYMENT LAW

INTRODUCTION

Automation and artificial intelligence (AI) are transforming employment relationships in Russia through automated recruitment, algorithmic performance evaluation, robotic manufacturing, digital workforce monitoring, automated dismissal recommendations and AI-assisted human resource management. Although these technologies improve productivity and administrative efficiency, they create significant legal concerns involving employment security, discrimination, personal data protection, employee surveillance, wage determination and procedural fairness.

Russian employment law does not establish a comprehensive, separate legal framework governing every aspect of AI-based employment decisions. Instead, the principal safeguards arise from the Constitution of the Russian Federation, the Labour Code of the Russian Federation, Federal Law No. 152-FZ on Personal Data and related legislation.

1. LEGAL FRAMEWORK GOVERNING AUTOMATION

The principal legislative provisions include:

A. CONSTITUTION OF THE RUSSIAN FEDERATION

Article 37 guarantees freedom of labour, the right to work under safe conditions, protection against unemployment and remuneration without discrimination. Automated systems cannot legitimately undermine these constitutional protections.

B. LABOUR CODE OF THE RUSSIAN FEDERATION

Article 3 prohibits discrimination in employment.

Article 22 establishes employers' fundamental rights and obligations.

Article 57 regulates essential employment contract conditions.

Article 72 requires agreement for contractual changes, subject to statutory exceptions.

Article 74 regulates changes in employment conditions for organisational or technological reasons.

Article 81 establishes legally recognised grounds for termination.

Article 86 regulates personal data processing within employment relationships.

Articles 88 and 89 establish restrictions and employee rights concerning personal data.

Article 91 regulates working time.

Article 99 regulates overtime work.

Article 192 governs disciplinary sanctions.

These provisions remain applicable when employers introduce AI-based management systems.

2. AUTOMATED RECRUITMENT AND ALGORITHMIC DISCRIMINATION

Russian employers increasingly use automated recruitment systems to screen applications, evaluate qualifications and rank candidates.

However, Article 3 of the Labour Code prohibits discrimination based on circumstances unrelated to professional qualifications. An algorithm that systematically disadvantages candidates because of age, sex, disability, nationality or other protected characteristics may create discrimination risks.

Article 64 also prohibits unjustified refusal to conclude an employment contract.

Employers should therefore maintain human supervision over recruitment decisions, establish objective selection criteria and provide legally required explanations for refusals.

3. AUTOMATED PERFORMANCE MONITORING AND EMPLOYEE PRIVACY

AI systems can monitor employee attendance, communications, productivity, location and working patterns.

Articles 86–90 of the Labour Code regulate employee personal data processing. Federal Law No. 152-FZ additionally establishes requirements concerning lawful processing, purpose limitation, security and individual rights.

Employers should ensure that monitoring is proportionate, transparent and connected with legitimate employment purposes. Excessive monitoring of private communications or collection of unnecessary personal information may violate applicable privacy protections.

4. AI-BASED DISMISSAL AND EMPLOYMENT SECURITY

Automated dismissal recommendations create substantial legal concerns.

Under Article 81 of the Labour Code, termination must rely on legally recognised grounds. An AI-generated productivity score or automated redundancy recommendation does not independently constitute a lawful dismissal ground.

Where technological or organisational changes lead to staff reductions, employers must comply with applicable redundancy procedures, including statutory notice, severance and alternative-position requirements.

Article 74 cannot be treated as unrestricted authority to impose arbitrary contractual changes merely because an employer introduces automation.

5. RELEVANT JUDICIAL DECISIONS

The following decisions provide important direct or analogous principles. Russian courts have not yet developed a substantial body of reported decisions specifically addressing AI-driven employment decisions.

1. Danilenkov and Others v. Russia (2009), European Court of Human Rights

Authority: Analogous.

The Court examined discrimination involving trade-union membership and inadequate protection of employees' rights. The decision supports the principle that employment management systems must not facilitate discriminatory treatment or undermine legitimate workplace rights.

2. Kechko v. Ukraine (2005), European Court of Human Rights

Authority: Analogous.

The Court addressed employment-related remuneration and the state's obligations concerning established financial entitlements. It illustrates that technological changes cannot automatically justify withholding legally established employee payments.

3. Vilho Eskelinen and Others v. Finland (2007), European Court of Human Rights

Authority: Analogous.

The Court examined employment-related access to judicial protection for public servants. Its reasoning is relevant to procedural safeguards when automated administrative systems affect employment rights.

4. Baka v. Hungary (2016), European Court of Human Rights

Authority: Analogous.

The Court considered the consequences of premature termination of a judicial office and protection of access to a court. It reinforces the importance of legal remedies where institutional decisions adversely affect professional positions.

5. Oleksandr Volkov v. Ukraine (2013), European Court of Human Rights

Authority: Analogous.

The Court identified serious procedural deficiencies in disciplinary removal from judicial office. Its principles concerning impartiality, procedural fairness and review are relevant when employers rely on automated disciplinary recommendations.

6. López Ribalda and Others v. Spain (2019), European Court of Human Rights

Authority: Analogous.

The Grand Chamber examined covert video surveillance of employees and the balance between employer interests and employee privacy. The decision is particularly relevant to AI-powered workplace surveillance and automated behavioural monitoring.

7. Barbulescu v. Romania (2017), European Court of Human Rights

Authority: Analogous.

The Grand Chamber examined workplace monitoring of employee electronic communications. It emphasised safeguards concerning notice, scope, justification and proportionality. These principles are relevant to AI-based email, messaging and productivity surveillance.

The above are European human-rights authorities, not Russian Supreme Court precedents. Their relevance in Russian proceedings must be assessed in light of Russia's withdrawal from the European Convention on Human Rights and the applicable temporal and domestic legal rules.

6. EMPLOYER COMPLIANCE OBLIGATIONS

Russian employers introducing AI and automation should:

Conduct legal assessments before implementing automated employment systems.

Ensure recruitment algorithms comply with Article 3 and Article 64.

Establish lawful purposes and safeguards for employee data processing.

Maintain human review of significant employment decisions.

Avoid discriminatory productivity and behavioural scoring.

Follow statutory redundancy and dismissal procedures.

Provide appropriate employee training when automation changes job responsibilities.

Maintain records supporting disciplinary, remuneration and termination decisions.

Respect applicable working-time, overtime and occupational safety requirements.

Establish effective procedures for employee complaints and judicial review.

7. CONCLUSION

Automation and artificial intelligence do not eliminate employers' obligations under Russian employment law. The Labour Code continues to regulate recruitment, remuneration, workplace monitoring, disciplinary action and termination regardless of whether decisions are made by human managers or supported by algorithms.

The central legal principle is that technological efficiency cannot override employee dignity, equality, privacy, contractual rights and statutory employment protections. Russian employers should consequently adopt transparent, proportionate and legally accountable AI-management systems. Human oversight and effective judicial remedies remain essential safeguards against arbitrary algorithmic employment decisions.