Workplace Automation Laws and the Rise of Imposter Syndrome Among Employees

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Authors: Gayatri Choudhary, Pranjal Mishra, Sunita Meena, Suman Surela
Cited by: 0
References: 10

Abstract

Workplace automation powered by artificial intelligence, robotic process automation (RPA), and advanced machine learning has shifted from back-office trial balloons to a central operational strategy. AI systems that remove routine work from manufacturing, IT services and gig platforms by no: it technological displacement clauses. This development is in line with a broader trend towards proactive measures against such practices, involving bias audits in AI hiring tools. This historical development illustrates a tension between technological determinism and worker protections. The primary legal reforms address automation risks through mandatory reskilling, compensation amendments and algorithmic accountability as India's labor codes fall short of global standards such as the ban on opaque high-risk systems in EU AI Act. The lagging regulation creates a paradox in most jurisdictions automation races ahead unconstrained by law, while employees are assured that “humans remain in the loop,” fostering an ambient that fuels imposter syndrome.

Fields of Study & Subjects

Legal and Labor Studies Ethics and Social Impacts of AI Digitalization Law and Regulation

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
447–466
Publication date
28 January 2026
Document type
Book chapter