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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61894
Volume:
10 |
4 |
April 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
School of Law
Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai
School of Law
Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai
The accelerating deployment of Artificial Intelligence across employment ecosystems has generated a set of legal and regulatory questions that existing labour frameworks were never designed to answer. Employers now use algorithmic tools to screen job applicants, evaluate ongoing performance, authorise promotions, and initiate terminations decisions that carry profound consequences for individual workers and, in aggregate, for the broader distribution of economic opportunity. Against this backdrop, the present article offers a doctrinal and comparative examination of the principal legal challenges that AI-driven workplaces present, with particular attention to algorithmic discrimination, accountability for autonomous decision-making, workplace surveillance and data privacy, and the erosion of labour rights through automation. Drawing on statutory materials, judicial decisions, and policy documents from India, the United States, the European Union, and Canada, the article maps the regulatory terrain as it currently stands, exposes the gaps that remain, and proposes a model framework oriented around transparency, proportionality, and worker participation. The central argument is that responsible integration of AI into employment is achievable but only if legal systems move from reactive case-by-case adjudication toward proactive, risk-calibrated governance.
KEYWORDS
Artificial Intelligence is neither inherently threatening to employment rights nor inherently conducive to their realisation. It is a powerful set of tools whose effects depend on the conditions under which they are deployed and legal conditions are among the most consequential. The analysis presented here demonstrates that current frameworks, in every jurisdiction examined, leave meaningful gaps: in accountability, in transparency, in bias prevention, and in the protection of workers displaced by automation. Those gaps are not inevitable. They reflect legislative lag rather than principled choice, and they are remediable. The goal is not to restrain AI but to discipline its deployment so that efficiency gains do not come at the cost of fairness, dignity, and equality. A regulatory framework built on pre-deployment assessment, mandatory transparency, clear liability, genuine worker participation, and adequate social protection can achieve that balance. The technology will continue to develop rapidly; the legal systems that govern it must develop with equal urgency.[1] [1] Hugh Collins, K.D. Ewing & Aileen McColgan, Labour Law 38–52 (Cambridge Univ. Press 2019).
[1] Hugh Collins, K.D. Ewing & Aileen McColgan, Labour Law 38–52 (Cambridge Univ. Press 2019). [2] Organisation for Economic Co-operation and Development, OECD Principles on AI (2019), https://oecd.ai/en/ai-principles; Int'l Labour Org., supra note 11, at 32–37. [3] See generally De Stefano & Wouters, supra note 4, at 115–30 (proposing a similar package of regulatory interventions at the EU level); Binns, supra note 24, at 180–200.
Publication Date
4/29/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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