AUTOMATED EMPATHY RANKING AMONG EMPLOYEES: LEGAL FRAMEWORK, WORKPLACE FAIRNESS AND EMPLOYMENT RIGHTS IN RUSSIA

1. INTRODUCTION

Automated empathy ranking refers to the use of artificial intelligence (AI), facial recognition, voice analytics, behavioural monitoring and sentiment-analysis technologies to evaluate and rank employees according to perceived empathy, emotional intelligence, compassion and interpersonal sensitivity. Employers may use these systems to assess customer-service representatives, managers, healthcare workers and other employees whose responsibilities involve interpersonal communication.

Although such systems may assist organisational management, they create significant legal concerns regarding discrimination, employee privacy, psychological autonomy, inaccurate assessments and procedural fairness. In Russia, automated empathy ranking must be examined through constitutional protections, the Labour Code of the Russian Federation and personal-data legislation. An employer should not treat an algorithmic empathy score as conclusive evidence of professional competence or misconduct.

2. LEGAL FRAMEWORK IN RUSSIA

A. CONSTITUTIONAL PROTECTIONS

The Constitution of the Russian Federation establishes important protections:

Article 19 guarantees equality before the law and prohibits discrimination.

Article 21 protects human dignity.

Article 23 protects privacy and personal and family secrets.

Article 24 restricts the collection, storage and use of information concerning private life without lawful justification.

Article 37 protects freedom of labour and employment rights.

Consequently, employers must ensure that emotional assessments do not become arbitrary instruments for restricting employment opportunities.

B. LABOUR CODE OF THE RUSSIAN FEDERATION

The Labour Code provides additional safeguards:

Article 3 prohibits discrimination in employment.

Article 22 establishes employers' obligations concerning employees' labour rights.

Article 86 regulates the processing of employee personal data.

Articles 87–90 establish requirements concerning employee-data protection and employer responsibilities.

Article 192 regulates disciplinary sanctions.

Article 193 establishes procedural requirements for imposing disciplinary sanctions.

An employer cannot automatically impose disciplinary punishment merely because an employee receives a low empathy score.

C. PERSONAL DATA PROTECTION

Federal Law No. 152-FZ on Personal Data regulates the processing of personal information. Emotional assessments derived from facial expressions, voice recordings and behavioural observations may constitute personal data. Their processing requires an appropriate legal basis, transparency, proportionality and compliance with applicable safeguards.

3. MAJOR FAIRNESS AND EMPLOYMENT-LAW CONCERNS

A. ALGORITHMIC DISCRIMINATION

AI systems may incorrectly interpret communication styles influenced by disability, cultural differences, language proficiency or individual personality. Employees who communicate differently may consequently receive systematically lower rankings.

B. PRIVACY AND EMPLOYEE DIGNITY

Continuous monitoring of facial expressions, conversations and emotional responses may interfere with employees' privacy. Excessive surveillance can also create psychological pressure and discourage natural workplace communication.

C. UNRELIABLE EVIDENCE

Empathy is a complex human characteristic that cannot reliably be reduced to a numerical score. Algorithmic assessments may produce inaccurate conclusions because of contextual misunderstandings, inadequate training data or technological limitations.

D. UNFAIR PROMOTION AND DISMISSAL

Using empathy rankings to determine promotions, salary increases, performance ratings or dismissals without independent verification may violate employment fairness and procedural protections.

4. IMPORTANT JUDICIAL DECISIONS

The following decisions establish relevant legal principles. Where no directly equivalent Russian precedent exists, the decisions are identified as analogous authorities.

Danilenkov and Others v. Russia (2009) – Directly relevant Russian employment-equality authority. The European Court of Human Rights examined discrimination affecting employees because of trade-union membership. The decision reinforces the requirement that employment decisions must not disadvantage workers on prohibited discriminatory grounds. Its principles are relevant where automated empathy rankings produce discriminatory employment outcomes.

Bărbulescu v. Romania (2017) – Analogous authority. The Court examined workplace electronic communications monitoring and employee privacy. It emphasised the importance of appropriate safeguards and proportionality when employers monitor employees.

López Ribalda and Others v. Spain (2019) – Analogous authority. The Court considered covert workplace video surveillance. The judgment demonstrates that workplace monitoring must be assessed against legitimate interests, proportionality and privacy protections.

Eweida and Others v. United Kingdom (2013) – Analogous authority. The Court considered workplace restrictions affecting individual religious expression. The judgment illustrates the importance of balancing employer interests against individual rights and personal identity.

Big Brother Watch and Others v. United Kingdom (2021) – Analogous authority. The Court examined large-scale surveillance and safeguards against abuse. Its reasoning is relevant to extensive employee-monitoring systems collecting behavioural and emotional information.

SCHUFA Holding (Case C-634/21, 2023) – Analogous EU authority. The Court of Justice of the European Union examined automated scoring and its implications under data-protection law. The judgment is particularly relevant when algorithmic scores substantially influence decisions affecting individuals.

Google Spain SL v. AEPD and Mario Costeja González (C-131/12, 2014) – Analogous EU authority. The Court recognised important principles concerning personal-data protection and individual rights. These principles support scrutiny of excessive or inappropriate use of employee-related information.

These decisions provide persuasive comparative principles rather than establishing that every automated empathy assessment is automatically unlawful in Russia.

5. EMPLOYER COMPLIANCE RESPONSIBILITIES

Russian employers implementing automated empathy-ranking systems should:

Establish a legitimate and clearly documented employment purpose.

Inform employees about the categories of personal data collected and their intended use.

Ensure compliance with Federal Law No. 152-FZ.

Evaluate potential discriminatory effects before implementation.

Avoid treating facial expressions or voice characteristics as definitive evidence of personality.

Provide employees with opportunities to challenge inaccurate assessments.

Require meaningful human review before significant employment decisions.

Maintain appropriate records of assessment criteria, system accuracy and decision-making procedures.

Ensure that disciplinary action complies with Articles 192 and 193 of the Labour Code.

6. LEGAL CONSEQUENCES OF UNFAIR EMPATHY RANKING

Where an automated ranking results in unlawful discrimination, privacy violations or unjustified employment action, an employer may face legal liability under applicable Russian employment and personal-data legislation. Depending on the circumstances, employees may seek restoration of employment rights, compensation for damages, judicial review or intervention by competent supervisory authorities.

The employer's reliance on an external AI vendor does not automatically eliminate its own legal responsibilities.

7. CONCLUSION

Automated empathy ranking presents significant challenges for employment fairness in Russia. Although employers may use technology to evaluate workplace performance, emotional characteristics should not be assessed through unverified algorithmic assumptions. Constitutional protections, Labour Code requirements and personal-data legislation demand lawful, proportionate and transparent employee-management practices. Ultimately, AI-generated empathy scores should remain supplementary assessment tools rather than independent grounds for discrimination, disciplinary punishment, denial of promotion or dismissal. Human oversight, reliable evidence and meaningful opportunities to challenge automated assessments are essential to protecting employee dignity and workplace justice.