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The Formal and Informal Regulation of Labor in AI

The Experience of Eastern and Southern Africa

Bibliographic Data

ID4573247
AuthorsChristine Bischoff (0000-0003-2216-7082), Ken Kamoche (0000-0002-9529-0180), G Wood (0000-0001-9709-1823, Christine Bischoff is a Lecturer in the Department of Sociology at the University of Witwatersrand, South Africa. Ken Kamoche is Professor of Human Resource Management and Organization Studies at Nottingham University Business School at the University of Nottingham, UK. Geoffrey Wood is Professor and Endowed DANCap Private Equity Chair at Western University, Ontario, Canada, and Professor at the University of Bath and Cranfield University in the UK, corresponding author)
Year2024
Volume77
Issue5
Pages825-835
Publication date2024-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIndustrial and Labor Relations Review (JOURNAL)
Journal identifiersISSN: 0019-7939 • E-ISSN: 2162-271X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/00197939241278956c
OpenAlexW4403213739
LanguageEN
References cited9

The spread of AI technologies has had far reaching consequences for work and employment regulation around the world. This conceptual paper explores the case of AI and formal and informal regulation in southern and east Africa, according particular attention to the cases of South Africa and Kenya. Within the region, governments seem primarily concerned with the potential of AI to promote economic diversification, rather than the protection of employees whose work autonomy-and, indeed, jobs-have been affected by the rise of AI technologies. There have been periodic efforts to promote codes of conduct, but these are primarily voluntary and industry centred. Unions and ad hoc worker associations have sought to push back; here, progress has been very uneven, although in some cases, this has made for employers accepting the need for basic rules of fair play. Meanwhile, several governments in the region have purchased AI technologies to monitor citizens and have deployed them against unions

Economic geography · Economic growth · Economics · Geography · Informal sector · Political science · Corporate Insolvency and Governance · Digital Economy and Work Transformation · Ethics and Social Impacts of AI

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