Artificial Intelligence and Human Rights at Work

Philippa Collins

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Legal and Labor Studies Ethics and Social Impacts of AI Digital Economy and Work Transformation

Abstract

Abstract While debates surrounding the impact of artificial intelligence (AI) on the ‘future of work’ have largely focused on automation of production processes and job destruction, it is increasingly clear that it is the use of AI to manage and govern the workplace that presents the more immediate challenge. This chapter argues that employers’ use of AI in algorithmic management and workplace surveillance technologies poses a significant and pervasive threat to human rights at work, one that is not confined to the rights of privacy and equality concerns that have so far dominated scholarly attention. The chapter sets out the ways in which technology is being used to undertake or augment managerial functions at all stages of the employment relationship and illustrates how these algorithmic management practices present a risk to a wide range of workers’ human rights. In addition to privacy and non-discrimination rights, this includes freedom of association and expression, due process rights, and the right to decent working conditions. The chapter then argues that ex ante forms of regulation are necessary to address the risk that AI poses to human rights at work and identifies and assesses two such frameworks that can be used to help secure human rights in this context, namely human rights impact assessments and collective bargaining over the use of technology in the workplace.

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References

2009A typology of reviews: an analysis of 14 review types and associated methodologies 2019Dissecting racial bias in an algorithm used to manage the health of populations 2021A Survey on Bias and Fairness in Machine Learning 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification 2020The role of artificial intelligence in achieving the Sustainable Development Goals 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 2015Big other: Surveillance Capitalism and the Prospects of an Information Civilization

Cited by

2024On the Right to Work in the Age of Artificial Intelligence: Ethical Safeguards in Algorithmic Human Resource Management 2024Algorithmic Management and a New Generation of Rights at Work 2024Managing Technology that Manages People: Regulatory Strategies for the UK 2025The role of trade unions in the context of transformational processes in the world of work 2026Regulatory Perspectives on Algorithmic Management and Workplace Rights

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