Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61894

ARTIFICIAL INTELLIGENCE IN THE WORKPLACE: Legal Challenges, Regulatory Gaps, and the Path to Reform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61894

Volume:

10 |

4 |

April 2026

Pages:

1-11

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

Share this article:

Authors

YV

YUVARANI V

School of Law

Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai

Download Author Certificate

Mentors

RGS

R. Gowari Shankari

School of Law

Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

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

Keywords: Artificial Intelligence Employment Law Algorithmic Bias Data Privacy Labour Rights Regulatory Framework Accountability

Cite This Article

YUVARANI V, R. Gowari Shankari, "ARTIFICIAL INTELLIGENCE IN THE WORKPLACE: Legal Challenges, Regulatory Gaps, and the Path to Reform," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-11, April 2026.

Full Article/Conclusion

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).

References

[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.

Editorial & Review Transparency

Publication Date

4/29/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...