FAIR WORK AND SOCIAL JUSTICE IN THE ERA OF ALGORITHM MANAGEMENT
FAIR WORK AND SOCIAL JUSTICE IN THE ERA OF ALGORITHM MANAGEMENT

Summary/Abstract: The digital transformation of work, accelerated by the implementation of artificial intelligence and algorithmic decision-making systems, has profoundly reshaped employment relations, organizational control, and employment governance. Algorithmic management promises efficiency, scalability, and objectivity; however, it simultaneously raises significant concerns about fair labor, workers’ rights, and social justice. This doctoral-level study critically examines the implications of algorithmic management for fair labor standards and social justice, highlighting issues related to power asymmetries, discrimination, opacity, and precarization. Drawing on social justice theories, critical labor studies, and science and technology studies, the paper proposes a normative and analytical framework for evaluating algorithmic management and proposes policy- and ethical-oriented recommendations.

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