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Ethical Labour Governance in the Age of Artificial Intelligence and Automation

Jumaniyazov Inomjon TurayevichTashkent State University of Economics, Tashkent, UzbekistanR. N. RavikumarJain (Deemed to be) University, Bangalore, IndiaRejapov Saydulla XikmatullayevichAlfraganus University, Tashkent, UzbekistanSadirdin KhudoykulovTermez University of Economics and Service, Termez, UzbekistanS. AarthiMarwadi University, Rajkot, IndiaSirojov Oybek OchilovichTashkent Institute of Chemical Technology, Tashkent, Uzbekistan
2026

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Annotatsiya

The fast adoption of the Artificial Intelligence (AI) and automation is changing how organisations operate and govern labour. The conventional Corporate Social Responsibility (CSR) models, which are predominantly directed toward philanthropy, cannot deal with emerging issues like the bias in algorithms, labor displacement, online surveillance, and risks of data governance. In this chapter, the author discusses the use of ethical labour governance in AI-driven workplaces and recommends a governance framework based on CSR, which incorporates responsible AI, algorithmic responsibility, and strategies aimed at inclusive workforce transition. The chapter provides insights into the conceptual analysis and case-driven knowledge to define governance mechanisms such as standards of transparency, reskilling programs, and multi-stakeholder control. In the study, the author has placed utmost importance on responsible automation as a means of balancing technological innovation and the dignity of workers, social equality, and long-term sustainability.

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