LEGAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE IN THE WORKPLACE

INTRODUCTION

One of the most revolutionary technologies of the twenty-first century is artificial intelligence (AI) (Duffy, 2024), which is radically altering how businesses function and handle their staff[1]. Artificial Intelligence (AI) refers to computer systems and technologies that can carry out tasks like learning, problem-solving, decision-making, pattern recognition, and data analysis that have historically required human intelligence. The use of AI-powered technologies in the workplace has increased in a number of areas as companies look to boost productivity, cut expenses, and promote efficiency. These days, hiring and selection procedures, workforce scheduling, employee performance monitoring, customer service, training and development, and even disciplinary and termination decisions all frequently make use of these technologies.

AI’s incorporation into hiring procedures has revolutionized HRM by empowering businesses to make quicker, data-driven decisions. Large volumes of data can be analysed by automated decision-making systems in a fraction of the time needed by human decision-makers, potentially increasing efficiency and consistency. However, using algorithms to sway hiring decisions creates legal dangers that could impact both companies’ and employees’ rights. AI systems are frequently trained on historical data that may contain pre-existing biases relating to age, gender, race, or society. Employment equality and anti-discrimination legislation may be violated as a result of these systems’ inadvertent reproduction or amplification of biased effects. These worries have led governments, regulators, and legal experts around the world to investigate how AI will affect equality and fairness in the workplace (Steinneker, 2026)[2].

Mobley v. Workday (2023-present) is widely considered the most significant AI-employment case currently before U.S. courts[3]. Derek Mobley alleged that Workday’s AI-powered hiring platform discriminated against applicants based on age, race, and disability by automatically screening and rejecting candidates. Mobley alleged that Workday systems made automated decisions on behalf of employers to reject certain candidates; and the Workday platform was the exclusive point of entry for many job opportunities. The case is notable because the plaintiff sued the AI vendor itself, rather than only the employers using the software.

What are legal implications of Artificial Intelligence in the workplace?

While Artificial Intelligence enhances workplace efficiency and decision-making, its increasing use raises significant legal concerns relating to discrimination, privacy, transparency, accountability, and employee rights, requiring effective legal regulation and human oversight.

 Even though AI technology has numerous beneficial applications in the workplace, using these technologies without proper human monitoring and intervention can lead to the following risks:

1. Discrimination and Bias

One of the biggest legal concerns is algorithmic bias. The integration of AI into employment practices has transformed traditional human resource management by enabling organizations to make faster and data-driven decisions. Large volumes of data can be analysed by automated decision-making systems in a fraction of the time needed by human decision-makers, potentially increasing efficiency and consistency.

EEOC v. iTutorGroup demonstrates that AI hiring systems must comply with anti-discrimination legislation and that employers remain accountable for algorithmic hiring decisions.[4] The Equal Employment Opportunity Commission (EEOC) of the United States claimed that iTutorGroup automatically rejected older applicants using automated hiring software. The EEOC claims that male candidates over 60 and female applicants over 55 were disqualified without human inspection. Although the matter was resolved, it was one of the first significant enforcement proceedings pertaining to AI hiring tools.

 The case demonstrates that employers cannot get beyond anti-discrimination legislation just because an AI system made the choice. AI-assisted hiring is subject to the same employment laws.[5]  

AI systems learn from historical data, and if that data contains bias, the AI may produce discriminatory outcomes in hiring, promotion, compensation, or termination decisions (Duffy,2024).[6] This can expose employers to claims under employment equity and anti-discrimination laws (Steineker,2026).[7]

2. Privacy and Data Protection

The protection of employee privacy and personal data is another important legal issue of workplace AI. For modern AI systems to work well, data collection and analysis are crucial.

For modern AI systems to work well, data collection and analysis are crucial. AI-powered solutions can be used by employers to check attendance, assess performance, monitor electronic communications, analyse workplace behaviour, location and activity data, biometric information and track employee productivity (Coleman, 2025).[8]

These methods pose significant concerns about employees’ right to privacy and the appropriate scope of workplace surveillance, even though they can offer insightful information for organizational management. Employers must make sure that employee data is gathered, processed, stored, and used in a way that is legal, transparent, and safe as data privacy laws continue to change around the world. Significant financial penalties, legal liabilities, and reputational harm could arise from breaking these regulatory obligations (Duffy,2024).[9]

Employers must ensure compliance with privacy and data protection laws. Employees generally have rights regarding how their personal information is collected, stored, and used (Coleman, 2025).[10] Failure to protect employee data can lead to legal penalties and reputational damage (Duffy, 2024).[11]   

In South Africa, Protection of Personal Information Act 4 of 2013 (POPIA) is currently the most directly applicable law to workplace AI.[12] Under POPIA, employers must process information lawfully and fairly, collect only necessary information, protect information through appropriate security measures, obtain consent where required and ensure lawful cross-border data transfers.

Where employees upload company or personal information into AI systems such as ChatGPT or other AI platforms, employers may face compliance risks under POPIA.

3. Transparency and Accountability

Concerns about accountability and transparency have also been raised by the use of AI in hiring decisions. Employers, workers, and even developers find it challenging to completely comprehend the intricate algorithms that power many AI systems (Steineker,2026).[13] If AI-generated recommendations are used to deny employees job prospects, promotions, or benefits, they have the right to request an explanation and, if they feel they have been treated unfairly, to file a lawsuit. Regulations requiring companies to maintain human oversight, regularly audit AI systems, and clearly explain automated decisions that impact employees are therefore becoming more and more in demand (Coleman, 2025)

Many AI tools operate as “black boxes,” making decisions without clear explanations.[14] Employees may challenge workplace decisions if they cannot understand how an AI system reached a conclusion. Regulators increasingly require employers to disclose when AI is used in employment decisions and to provide transparency regarding its operation.

State v. Loomis highlights the importance of transparency and human oversight when AI systems influence decisions that significantly affect individuals.[15] The case is often cited when discussing the “black box” problem in AI systems. It highlights concerns about relying on automated decisions that cannot easily be explained or challenged.[16]

4. Liability for AI Decisions

Employers cannot usually avoid responsibility by claiming that an AI system made the decision.[17] Organizations remain legally accountable for decisions affecting employees, even when third-party AI tools are used.[18]

Potential liabilities include:

• Unfair dismissal claims
• Discrimination lawsuits
• Breaches of labour laws
• Violations of privacy regulations[19] 

Important concerns regarding employer liability are also brought up by the growing usage of AI. Organizations are typically still legally accountable for the decisions made in the workplace, even though AI technology may assist or automate those judgments. Employers cannot only blame their use of technology for illegal employment practices, privacy issues, or discriminatory practices. Rather, they must make sure that AI technologies adhere to current labour laws, ethical norms, and employment rules.[20] Organizations must therefore set up governance frameworks that strike a balance between risk management, legal compliance, and technology innovation.[21]  

5. Impact on Employment Rights

Employers may monitor employee performance, attendance, internet usage, location, and workplace conduct in real time with the help of AI-powered monitoring technologies.[22] Excessive surveillance may infringe upon employee private rights and foster an unpleasant work atmosphere, even while monitoring may increase productivity and security. Employers must strike a balance between workers’ rights to privacy and dignity and justifiable corporate interests.[23]

6. Impact on Employment and Job Security

AI’s growing automation of workplace tasks could result in workforce restructuring and job loss. Workers may be laid off or redeployed if AI technology take their jobs.[24] When implementing AI-related workforce changes, employers must adhere to labour regulations governing fair labour practices, consultation, and termination.[25]  

7. Intellectual Property Concerns

Reports, designs, software, and other work products can be produced by AI systems. This raises concerns about copyright infringement, confidential information protection, and ownership of content produced by AI. Clear workplace regulations governing employee use of AI tools and ownership of AI-generated outputs are necessary for organizations.[26]  

8. Regulatory Compliance

Globally, governments and regulatory organizations are creating rules and regulations to control the application of AI in the workplace.[27] Employers are increasingly required by these requirements to maintain human oversight, carry out risk assessments, conduct bias audits, and guaranty transparency in automated decision-making systems.[28]  

EXISTING LEGAL AND REGULATORY FRAMEWORKS

1. South African Legal Frameworks

• Constitution of the Republic of South Africa
• Labour Relation Act 66 of 1995
• Employment Equity Act 55 of 1998
• Basic Conditions of Employment Act 75 of 1997
• POPIA

2. International Developments

• European AI Act
• The Equal Employment Opportunity Commission (EEOC) guidelines on AI employment practices.
• International Labour (ILO) principles

BENEFITS VERSUS LEGAL RISKS OF AI IN THE WORKPLACE

Benefits include increased efficiency, faster recruitment, improved productivity and better data-driven decisions. Contrary to benefits, the risks are the use of AI in the workplace AI may result in privacy violations, reduced transparency, job losses, legal liability and may also result in algorithmic bias and discrimination

RECOMMENDATIONS

Regarding Employers

• Make risk evaluations for AI.
• Conduct routine audits of prejudice
• Continue to have human supervision
• Create policies for AI governance.
• Teach staff members how to use AI ethically.

For Lawmakers

• Establish workplace regulations tailored to AI
• Strengthen safeguards for employees
• Set norms for accountability

CONCLUSION

The rapid adoption of Artificial Intelligence in the workplace presents both opportunities and risks; however, its potential impact on privacy, discrimination, transparency, and employment rights demonstrates that legal safeguards are necessary to ensure the ethical and lawful use of AI technologies. Organizations must make sure that the use of AI conforms with ethical and legal standards as it becomes more integrated into employment practices. To strike a balance between technology innovation and the defence of employee rights, effective legislation, competent governance, and ongoing human oversight are crucial.

BIBLIIOGRAPHY

1. Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/
2. Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/
3. AI in the workplace: US Legal Developments. Cooley (2025)
4. Coleman, J. Understanding the Implications of the 2025 AI in the Workplace Act. AtttorneyReview (2025). https://attorneyreview.com/blog/understanding-the-implications-of-the-2025-ai-in-the-workplace-act-mjo90t63
5. Kelley,B.J & Rogers, A.B (2025) The Sound and Fury of Regulating AI in the Workplace. HAVARD LAW SCHOOL https://journals.law.harvard.edu/jol/2025/12/06/the-sound-and-fury-of-regulating-ai-in-the-workplace/
6. Protection of Personal Information Act 4 of 2013 (POPIA)
7. Mobley v. Workday, Inc. 3:23-cv-00770 U.S. District Court (2024)
8. Algorithmic Bias litigation in USA. Law Gratis (2026) https://www.lawgratis.com/blog-detail/algorithmic-bias-litigation-in-usa
9. EEOC v. iTutorGroup, Inc. (2023 Settlement)
10. Bridge Legal Team. (2026). State v. Loomis and the Question: Can an Algorithm Decide a Prison Sentence https://bridgelegal.org/state-v-loomis-question-can-algorithm-decide-prison-sentence/
11. AI Jurium State of Wisconsin v Eric L. Loomis. (2016). https://aijurium.com/cases/state-wisconsin-v-eric-l-loomis

[1] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/   

[2] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[3] Mobley v. Workday, Inc. 3:23-cv-00770 U.S. District Court (2024)

[4] EEOC v. iTutorGroup, Inc. (2023 Settlement)

[5] Algorithmic Bias litigation in USA. Law Gratis (2026) https://www.lawgratis.com/blog-detail/algorithmic-bias-litigation-in-usa

[6] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/  

[7] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[8] Coleman, J. Understanding the Implications of the 2025 AI in the Workplace Act. AtttorneyReview (2025). https://attorneyreview.com/blog/understanding-the-implications-of-the-2025-ai-in-the-workplace-act-mjo90t63

[9] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/  

[10] Coleman, J. Understanding the Implications of the 2025 AI in the Workplace Act. AtttorneyReview (2025). https://attorneyreview.com/blog/understanding-the-implications-of-the-2025-ai-in-the-workplace-act-mjo90t63

[11] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/  

[12] Protection of Personal Information Act 4 of 2013 (POPIA)

[13] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[14] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[15] Bridge Legal Team. (2026). State v. Loomis and the Question: Can an Algorithm Decide a Prison Sentence https://bridgelegal.org/state-v-loomis-question-can-algorithm-decide-prison-sentence/

[16] AI Jurium State of Wisconsin v Eric L. Loomis. (2016). https://aijurium.com/cases/state-wisconsin-v-eric-l-loomis

[17] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[18] Kelley,B.J & Rogers, A.B (2025) The Sound and Fury of Regulating AI in the Workplace. HAVARD LAW SCHOOL https://journals.law.harvard.edu/jol/2025/12/06/the-sound-and-fury-of-regulating-ai-in-the-workplace/

[19] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[20] Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[21]  Kelley,B.J & Rogers, A.B (2025) The Sound and Fury of Regulating AI in the Workplace. HAVARD LAW SCHOOL https://journals.law.harvard.edu/jol/2025/12/06/the-sound-and-fury-of-regulating-ai-in-the-workplace/

[22] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/  

[23] Coleman, J. Understanding the Implications of the 2025 AI in the Workplace Act. AtttorneyReview (2025). https://attorneyreview.com/blog/understanding-the-implications-of-the-2025-ai-in-the-workplace-act-mjo90t63

[24] AI in the workplace: US Legal Developments. Cooley (2025)

[25] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/  

[26] Duffy, A. (2024). Navigating the Intersection Between AI and Employment Law. MATHESON https://www.matheson.com/insights/navigating-the-intersection-between-ai-and-employment-law/  

[27]Steineker, N. (2026). Current Regulations on AI in Employment Decisions. University of Cicinnati Law Review Vol.94 https://uclawreview.org/2026/03/10/current-regulations-on-ai-in-employment-decisions/

[28] AI in the workplace: US Legal Developments. Cooley (2025)