cover image: Artificial intelligence, labour and society


Artificial intelligence, labour and society

3 Mar 2024

The rapid expansion of artificial intelligence is unparalleled, establishing it as a ubiquitous element in workplaces and our daily lives. The era when AI was exclusively associated with robots and intricate algorithms for the technically proficient is over. This marks a significant paradigm shift, with profound implications and changes regarding the world we live in.This book proposes an analysis of this transformation, and does so by bringing together the reflections of high-level academics and research activists from across the world. It adopts a multidisciplinary approach, incorporates a diversity of geographical and cultural points of view and focuses on the deep and often invisible implications of AI for the labour market and society as a whole. Thematically speaking, it addresses AI’s legal, societal, global, environmental, technological and labour aspects.The contributing authors show how contemporary AI is gradually reshaping society. They also highlight the need to understand the dynamics of technological convergence and remind us of the critical role played by humans, who remain present at every stage of AI’s lifecycle and value chain. Prevention and precaution are portrayed as crucial components of the critical thinking approach we need to adopt towards AI.The book also examines the power dynamics of technological evolution and governance, explores AI’s relationship with the environment and tackles the crucial issue of AI’s impact on the labour market, working conditions and labour standards. Its fundamental goal is to prompt readers to transcend the narrow disciplinary perspectives associated with the silos within which we tend to work, introducing a range of novel and diverse academic viewpoints on AI and its challenges.
digitalisation foresight


Aída Ponce Del Castillo, Vassilis Galanos, James K. Stewart, Hamid R. Ekbia, Helga Nowotny, Inga Ulnicane, Benedetta Brevini, Antonio A. Casilli, Lukas Hondrich, Anne Mollen, Sandy J.J. Gould, Natalia Giorgi, Mario Guglielmetti, Teresa Rodríguez de las Heras Ballell, Michele Molè, Frank Pasquale, Frank Pot, Odile Chagny, Nicolas Blanc, Luciana Guaglianone, María Luz Rodríguez Fernández, German Bender, Vincent Mandinaud

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Chapter9_Measuring work is hard. Subcontracting it won’t help. Explainable AI won’t help.pdf

Chapter5_The politics of purpose AI for a global race or societal challenges.pdf

Chapter19_Union influence over algorithmic systems evidence from Sweden.pdf

Contents_Artificial intelligence, labour and society.pdf

Chapter15_AI for good work.pdf

Artificial intelligence, labour and society_2024.pdf

Chapter10_Standardising AI – a trade union perspective.pdf

Chapter11_Automated work and workers’ rights platform work and AI work management systems.pdf

Chapter6_An Eco-political economy of AI environmental harms and what to do about them.pdf

Chapter4_In AI We Trust power, illusion and the control of predictive algorithms.pdf

Chapter16_Social dialogue as a form of bottom-up governance for AI the experience in France.pdf

Chapter1_AI the value of precaution and the need for human control.pdf

Chapter13_Worker monitoring vs worker surveillance the need for a legal differentiation.pdf

Chapter8_Implementing employee interest along the Machine Learning Pipeline.pdf

Chapter3_In Humans We Trust rules, algorithms and judgment.pdf

Chapter14_Affective computing at work rationales for regulating emotion attribution and manipulation.pdf

Chapter18_Collective bargaining and AI in Spain.pdf

List of contributors_Artificial intelligence, labour and society.pdf

Chapter12_Automating employment a taxonomy of the key legal issues and the question of liability.pdf

Chapter2_Navigating AI beyond hypes, horrors and hopes historical and contemporary perspectives.pdf

Chapter20_AI systems, risks and working conditions.pdf

Foreword_Artificial intelligence, labour and society.pdf

Chapter17_Collective bargaining and AI in Italy.pdf

Chapter7_‘End-to-end’ ethical AI. Taking into account the social and natural environments of automation.pdf