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Artificial Intelligence in the Colonial Matrix of Power

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Robot Rights?

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Digital inequalities 3.0: Emergent inequalities in the information age

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Not so disruptive yet? Characteristics, distribution and determinants of robots in Europe

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The poverty of ethical AI: impact sourcing and AI supply chains

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Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies

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Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service

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Innovation adoption in inter-organizational healthcare networks – the role of artificial intelligence

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Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)

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Disembedded or Deeply Embedded? A Multi-Level Network Analysis of Online Labour Platforms

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AI for Everyone? Critical Perspectives

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A typology of artificial intelligence data work

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Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

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Innovating knowledge and information for a firm-level automobile demand forecast system: A machine learning perspective

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Artificial intelligence in social science: A study based on bibliometrics analysis

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Research themes in machine learning applications in supply chain management using bibliometric analysis tools

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From Heron of Alexandria to Amazon’s Alexa: a stylized history of AI and its impact on business models, organization and work

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The unwitting labourer: extracting humanness in AI training

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Counting ‘micro-workers’: societal and methodological challenges around new forms of labour

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Who Bears the Burden of a Pandemic? COVID-19 and the Transfer of Risk to Digital Platform Workers

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Hidden inequalities: the gendered labour of women on micro-tasking platforms

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The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models

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UBERIZAÇÃO DO TRABALHO: A PERCEPÇÃO DOS MOTORISTAS DE TRANSPORTE PARTICULAR POR APLICATIVO

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Beyond Mechanical Turk: The Work of Brazilians on Global AI Platforms

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Mapping the prestige and social value of occupations in the digital economy

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Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?Preprint

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Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts

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Prerequisites for the Innovation Performance of Artificial Intelligence Laboratory: A Fuzzy-Set Qualitative Comparative Analysis

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Waiting for robots: the ever-elusive myth of automation and the global exploitation of digital labor

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Vanishing social classes? Facts and figures of the Italian labour market

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Numerical study of the speed’s response of the various intelligent models using the tansig, logsig and purelin activation functions in different layers of artificial neural network

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Heteromação e microtrabalho no Brasil

Braz, M. V. (2021) · Sociologias · doi:10.1590/15174522-111017 · Cited by 20

Debunking Robot Rights Metaphysically, Ethically, and Legally

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Cyber-Creativity: A Decalogue of Research Challenges

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Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?

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Agrarian Platform Capitalism: Digital Rentiership Comes to Farming

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Artificial Intelligence Applications in English Language Teaching: A Short Survey

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Embracing intelligent machines: A qualitative study to explore the transformational trends in the workplace

Annamalai, S., & Vasunandan, A. (2024) · Central European Management Journal · doi:10.1108/cemj-03-2023-0137 · Cited by 15

Artificial Intelligence Revolutionising the Automotive Sector: A Comprehensive Review of Current Insights, Challenges, and Future Scope

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Global data empires: Analysing artificial intelligence data annotation in China and the USA

Wu, T., Muldoon, J., & Xia, B. (2025) · Big Data & Society · doi:10.1177/20539517251340600 · Cited by 12

Construire la « compréhension » d’une machine

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Unpaid labour in online freelancing platforms: between marketization strategies and self-employment regulation

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Learners in the loop: hidden human skills in machine intelligence

Tubaro, P. (2022) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2022-163006 · Cited by 10

The Making of Performative Accuracy in AI Training: Precision Labor and Its Consequences

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The politics of artificial intelligence supply chains

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Effects of Artificial Intelligence-Based Technologies Implementation’s on the Skills Needed in the Automotive Industry – A Bibliometric Analysis

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Artificial intelligence and the digitalization of finance in Latin America: evidence from Brazil

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Behind the Scenes of Automation: Ghostly Care-Work, Maintenance, and Interferences

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O chão de fábrica (brasileiro) da inteligência artificial: a produção de dados e o papel da comunicação entre trabalhadores de Appen e Lionbridge

Grohmann, R., & Araújo, W. F. (2021) · Palabra Clave · doi:10.5294/pacla.2021.24.3.8 · Cited by 15

Making decisions: the normal interventions of Nissan ‘mobility managers’

Hind, S. (2021) · Mobilities · doi:10.1080/17450101.2021.1988682 · Cited by 6

Artificial Intelligence and employment: a systematic review

de Acypreste, R., & Paraná, E. (2022) · Brazilian Journal of Political Economy · doi:10.1590/0101-31572022-3320 · Cited by 10

Intelligent flexible assembly system for labor-intensive factory using the configurable virtual workstation concept

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Artificial intelligence as the core of production of the future: Machine learning and intellectual decision supports

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Productivity slowdown across European regions: does non-standard work matter?

Capriati, M., Cirillo, V., & Divella, M. (2024) · Regional Studies · doi:10.1080/00343404.2023.2281428 · Cited by 5

La discriminación en una sociedad automatizada: Contribuciones desde América Latina

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Niewidzialni pracownicy, czyli kto stoi za sztuczną inteligencją

Potocka-Sionek, N. (2022) · Studia z Zakresu Prawa Pracy i Polityki Społecznej · doi:10.4467/25444654spp.22.010.15684 · Cited by 5

Understanding digital sweatshops: A qualitative investigation of workers’ perspectives

Kamila, M. K., Jasrotia, S. S., & Kushwaha, P. S. (2024) · Asian Journal of Business Ethics · doi:10.1007/s13520-024-00210-y · Cited by 5

The Factory of the Future? The Contradictory Restructuring of an Assembly Line in France

Carbonell, J. S. (2020) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2020-158006 · Cited by 4

The evaluation of AI integration in innovative digital marketing strategies

Efendi̇oğlu, İ. H. (2023) · Pressacademia · doi:10.17261/pressacademia.2023.1820 · Cited by 4

Analysis of the Attitude of Hungarian HR Professionals to Artificial Intelligence

Karácsony, P. (2022) · Our Economy Journal of Contemporary Issues in Economics and Business · doi:10.2478/ngoe-2022-0011 · Cited by 6

Reactive or Stable: A Plant-inspired Approach for Organisation Morphogenesis

Zahadat, P., & Diaconescu, A. (2020) · Conference on Artificial Life (ALIFE) · doi:10.1162/isal_a_00244 · Cited by 4

From senses to sensors: autonomous cars and probing what machine learning does to mobilities studies

Mukhtar‐Landgren, D., & Paulsson, A. (2023) · Distinktion Journal of Social Theory · doi:10.1080/1600910x.2023.2186819 · Cited by 3

Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia

Олегович, А. А., Степусь, И. С., & Gurtov, V. A. (2023) · Studies on Russian Economic Development · doi:10.1134/s1075700723010021 · Cited by 4

Role of artificial intelligence in smart manufacturing of automobile industry in India

Gaikwad, S. R. (2024) · AIP conference proceedings · doi:10.1063/5.0229368 · Cited by 3

Gig Sector in the African Economy: Frameworks, Challenges and Prospects

Nwaobi, G. (2025) · Journal of Global Sustainability and Development (JGSD) · doi:10.57017/jgsd.v2.i2.05 · Cited by 3

If You Go for AI, Be Aware of the Psychological Hurdles Around It—Practical and Theoretical Insights on the Industrial Application of Artificial Intelligence

Demlehner, Q., Schoemer, D., & Laumer, S. (2021) · Future of business and finance · doi:10.1007/978-3-030-82003-9_11 · Cited by 5

Infrastrutture digitali, governance e trasformazioni del lavoro

Musiani, F. (2022) · SOCIOLOGIA DEL LAVORO · doi:10.3280/sl2022-163004 · Cited by 3

Impact of (AI) Artificial Intelligence on Marketing Strategies in Automobile Sector: A Consumer Behaviour Analysis in the Digital Era

Likhitkar, B., Pillai, B., & Parasher, S. (2024) · International Conference on Cybernation and Computation (CYBERCOM) · doi:10.1109/cybercom63683.2024.10803156 · Cited by 3

Ethics of Autonomous Intelligent Systems in the Human Society: Cross Views from Science, Law and Science-Fiction

Trentesaux, D., Rault, R., Caillaud, E., & Huftier, A. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-69373-2_17 · Cited by 3

Unwrapping Cobol: Lessons in Crisis Computing

Ritasdatter, L. H. (2020) · doi:10.24834/isbn.9789178771165 · Cited by 3

Hybrid (Solo)Self-Employment and Upskilling: Is Online Platform Work a Path Towards Entrepreneurship?Preprint

Pouliakas, K., & Ranieri, A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4129672 · Cited by 3

Machine Intelligence in Africa: a surveyPreprint

Tembiné, H., Tapo, A. A., Danioko, S., & Traoré, A. (2024) · doi:10.36227/techrxiv.170555182.20418305/v1 · Cited by 3

Machine Learning in Medical Systems

Hu, W. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197653609.013.28 · Cited by 3

Who Decides When Artificial Intelligence Works? Algorithmic Production as a Continuous Evaluation Process

Wirth, A., Ludec, C. L., Girard-Chanudet, C., & Cornet, M. (2025) · Digital Society · doi:10.1007/s44206-025-00224-4 · Cited by 3

Digital economy labor in the quality era: a socio-technical and biblio-scientometric mapping

Ardeshir, A., & Shahin, A. (2025) · The TQM Journal · doi:10.1108/tqm-08-2024-0317 · Cited by 2

Travail, formation, numérique : quels formateurs pour quels apprentissages ?

Gagneur, C.-A. (2023) · Education permanente · doi:10.3917/edpe.234.0179 · Cited by 2

Automating the manufacturing process of control cables for the automotive components industry

Pinto, J. P. M., Campilho, R. D. S. G., & Silva, F. J. G. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-024-14844-6 · Cited by 1

Microwork as a development project: An ethnographic study of data annotators in Guizhou, China

Huang, Y., & Kuang, Y. (2025) · World Development · doi:10.1016/j.worlddev.2025.107187 · Cited by 1

‘In a Pinch, If You Have Nothing’: An Exploration of Money-Making Apps in Homeless Shelters

Jang, E., Ardeni, A., Choden, K., Webster, J. R., Young, J. C., & Heimerl, K. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791541 · Cited by 1

Thing Ethnography in a Factory: Exploring Emergent and Dynamic Relations of Cobots and Workers

Cho, H., Seo, J. A., Sohn, Y., & Lee, H. R. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790576 · Cited by 1

Les Learning Analytics vus par la sociologie

Tubaro, P. (2019) · Distances et médiations des savoirs · doi:10.4000/dms.4608 · Cited by 1

Analysis of TuSimple’s Investment Value

Dong, J., Jiang, J., Luo, Z., & Xu, Y. (2022) · Advances in economics, business and management research/Advances in Economics, Business and Management Research · doi:10.2991/978-94-6463-052-7_8 · Cited by 1

Investigating the Influence of Blockchain in Building Trust Network – Smart Transport Networks in a Smart City

Shan, Z., Haq, A. U., Butt, U., Habib, F., Jamal, A., & Khan, M. F. (2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83753-022-920231009 · Cited by 1

Tertiary Study on the Use of Artificial Intelligence for Service Delivery: A Bibliometric Analysis of Systematic Literature Reviews

Chouikh, A., Khechine, H., & Gagnon, M.-P. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.209 · Cited by 1

Understanding employee experiences with technology integration in Indian industries: A qualitative study

Bhaldar, N. A., & Lokesh, L. (2024) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2024.22.1.1160 · Cited by 1

From United Steel to Waymo: industrializing simulation

Hind, S. (2024) · AI & Society · doi:10.1007/s00146-024-02051-6 · Cited by 3

Platform workers in Italy: an empirical exploration on worker-level data

Cirillo, V., Guarascio, D., & Scicchitano, S. (2019) · Cited by 1

Model of Commercialization of University’s Innovations Based on AI

Sitnikova, S. E., Polusmakova, N. S., & Golovetsky, N. Y. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-39319-9_46 · Cited by 1

Appendices

(2021) · World Employment and Social Outlook · doi:10.1002/wow3.173

»Nahtlose Autonomie«

Hind, S. (2021) · Digitale Gesellschaft · doi:10.14361/9783839450246-010

The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence

Tubaro, P., Casilli, A. A., & Coville, M. (2020) · Big Data & Society · doi:10.1177/2053951720919776 · Cited by 262

A typology of artificial intelligence data work

Muldoon, J., Cant, C., Wu, B., & Graham, M. (2024) · Big Data & Society · doi:10.1177/20539517241232632 · Cited by 50

Making Data: The Work Behind Artificial IntelligencePreprint

Braz, M. V., Tubaro, P., & Casilli, A. A. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2410.03694 · Cited by 2

Value Chains of AI: Data Training Firms, Platforms and WorkersPreprint

Anwar, M. A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4997122

Challenging the Myth of AI Autonomy

Rani, U., & Williams, M. (2026) · Weizenbaum Journal of the Digital Society · doi:10.34669/wi.wjds/6.1.6 · Cited by 2