International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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The Impact of AI on Workplace Litigation: A Study of Employee Relations and Conflict Resolution

Author(s) Dr. Neeraja Kalluri
Country India
Abstract This paper examines the growing role of artificial intelligence in workplace lawsuits, labour relations, and dispute resolution. It examines the ways AI-enabled tools are altering how managers make decisions, how employees are monitored, the risk of discrimination, and the management of conflicts. The authors conducted a literature review that draws on articles published in peer-reviewed journals indexed by Scopus and Web of Science. From that review, five recurring themes emerged: algorithmic decision-making, continual workplace monitoring, predictive analytics, AI-assisted mediation, and the broader legal fallout. The analysis finds that AI can help organisations reduce risk, boost compliance, and resolve disputes early; however, it also raises serious concerns about bias in algorithms, a lack of transparency in decision-making processes, and potential violations of worker privacy rights. The authors argue that hybrid approaches where human judgment complements AI tools are vital to preserving fairness and accountability under the law. They urge companies to implement responsible AI governance that prioritises transparency, explainability, regular bias audits, and explicit worker consent. At the same time, they contend that legal systems must adapt to protect employee rights in AI-driven workplaces. By linking AI ethics, regulatory compliance, and conflict management, this study seeks to enrich the emerging field of socio-technical systems and employment law.
Keywords Artificial Intelligence, Workplace Litigation, Employee Relations and Conflict Resolution.
Field Engineering
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-22
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.51880
Short DOI https://doi.org/g9t2fw
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