Slimme digitale systemen en AI

References

1. Alasoini, T. (2024). Twin transition as a transformer of work and an opportunity for development. Finnish Institute of Occupational Health.
   [Google Scholar]
2. AlgorithmWatch. (2019). Atlas of automation: Automated decision-making and participation in Germany. AW AlgorithmWatch gGmbH.
   [Google Scholar]
3. Aloisi, A., & De Stefano, V. (2025, 22juli). How the EU Could Make AI an Engine of Workplace Democracy. EUobserver.
   [Google Scholar]
4. Bérastégui, P. (2021). Exposure to psychosocial risk factors in the gig economy: A systematic review. European Trade Union Institute.
   [Google Scholar]
5. Dastin, J. (2018, 10oktober). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters. Geraadpleegd op 19juni2025, van https://www.reuters.com/article/us-amazon-com-jobs-automation-insight-idUSKCN1MK08G
   [Google Scholar]
6. De Stefano, V. (2020). Algorithmic Bosses and How to Tame Them. C4e Journal. Geraadpleegd op 15augustus2025, van c4ejournal.net/2020/07/05/valerio-de-stefano-algorithmic-bosses-and-how-to-tame-them-2020-c4ej-xxx/
   [Google Scholar]
7. De Stefano, V., & Aloisi, A. (2022). Your boss is an algorithm: Artificial intelligence, platform work and labour. Hart Publishing.
   [Google Scholar]
8. Dzieza, J. (2020, 27februari). How hard will the robots make us work?The Verge. Geraadpleegd op 15augustus2025, van https://www.theverge.com/2020/2/27/21155254/automation-robots-unemployment-jobs-vshuman-google-amazon
   [Google Scholar]
9. Estévez-Mujica, C. P., & Quintane, E. (2018). E-mail communication patterns and job burnout. PLOS ONE, 13(3), e0193966. https://doi.org/10.1371/journal.pone.0193966
   [Google Scholar]
10. Eurofound. (2020). Telework and ICT-based mobile work: Flexible working in the digital age (New forms of employment series). Publications Office of the European Union.
    [Google Scholar]
11. European Agency for Safety and Health at Work (EU-OSHA). (2019). OSH and the future of work: Benefits and risks of artificial intelligence tools in workplaces (Discussion paper). Publications Office of the European Union.
    [Google Scholar]
12. European Agency for Safety and Health at Work (EU-OSHA). (2020). Smart personal protective equipment: Intelligent protection for the future. Publications Office of the European Union.
    [Google Scholar]
13. European Agency for Safety and Health at Work (EU-OSHA). (2022a). Artificial intelligence for worker management: An overview. Publications Office of the European Union.
    [Google Scholar]
14. European Agency for Safety and Health at Work (EU-OSHA). (2022b). Surveillance and monitoring of remote workers: Implications for occupational safety and health. Publications Office of the European Union.
    [Google Scholar]
15. European Agency for Safety and Health at Work (EU-OSHA). (2022c). OSH Pulse – Occupational safety and health in post-pandemic workplaces. Publications Office of the European Union.
    [Google Scholar]
16. European Agency for Safety and Health at Work (EU-OSHA). (2022d). Worker management through AI: From technology development to the impacts on workers and their safety and health. Publications Office of the European Union.
    [Google Scholar]
17. European Agency for Safety and Health at Work (EU-OSHA). (2023). Een gezonde werkplek 2023‘-2025: Veilig en gezond werken in een digitale samenleving – Campagnegids. Publications Office of the European Union.
    [Google Scholar]
18. European Agency for Safety and Health at Work (EU-OSHA). (2024). Worker participation and representation: The impact on risk prevention of AI worker management systems. Publications Office of the European Union.
    [Google Scholar]
19. European Commission. (2021, 21april). Proposal for a regulation of the European Parliament and of the Council: Artificial Intelligence Act (COM(2021) 206 final).
    [Google Scholar]
20. Gregory, K. (2021). ‘My life is more valuable than this’: Understanding risk among on-demand food couriers in Edinburgh. Work, Employment & Society, 35(2), 316-331. https://doi.org/10.1177/0950017020969593
    [Google Scholar]
21. Grand View Research. (2024). Employee experience management market size, share, & trends analysis report by component (software, services), by deployment, by enterprise size, by end-use, by region, and segment forecasts, 2024-2030. Grand View Research.
    [Google Scholar]
22. Hulsegge, G., Van der Torre, W., Verbiest, S., & Oeij, P. (2020). De impact van technologie op de taken, skills en kwaliteit van de arbeid: Hoe verandert het werk van een elektro- en onderhoudsmonteur?Tijdschrift voor Arbeidsvraagstukken, 38(2), 169-191. https://doi.org/10.5117/TVA2022.2.004.HULS
    [Google Scholar]
23. International Labour Organization (ILO). (2025). How might generative AI impact different occupations? Geraadpleegd op 20juni2025, van https://www.ilo.org/resource/article/how-might-generative-ai-impact-different-occupations
    [Google Scholar]
24. Jacobs, J. V., Hettinger, L. J., Huang, Y.-H., Jeffries, S., Lesch, M. F., Simmons, L. A., Verma, S. K., & Willetts, J. L. (2019). Employee acceptance of wearable technology in the workplace. Applied Ergonomics, 78, 148-156. https://doi.org/10.1016/j.apergo.2019.03.003
    [Google Scholar]
25. Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015). Working with machines: The impact of algorithmic and data-driven management on human workers. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 1603-1612). Association for Computing Machinery.
    [Google Scholar]
26. Marassi, S. (2023). Wearable technology tomonitor workers’ health and safety: Benefits, risks, and legal considerations. Boom Juridisch.
    [Google Scholar]
27. Mateescu, A., & Nguyen, A. (2019, 6februari). Explainer: Algorithmic management in the workplace. Data & Society. Geraadpleegd op 16augustus2025, van https://datasociety.net/library/explainer-algorithmic-management-in-the-workplace/
    [Google Scholar]
28. Milanez, A., Lemmens, A., & Ruggiu, C. (2025). Algorithmic management in the workplace: New evidence from an OECD employer survey (OECD Artificial Intelligence Papers, No. 31). OECD Publishing.
    [Google Scholar]
29. Moore, P. V. (2018). The threat of physical and psychosocial violence and harassment in digitalized work. International Labour Organization.
    [Google Scholar]
30. Moore, P. V., Cefaliello, A., & Donoghue, R. (2023). Making algorithmic management safe and healthy for workers: Addressing psychosocial risks in new legal provisions. European Labour Law Journal, 14(2), 192-210. https://doi.org/10.1177/20319525231167476
    [Google Scholar]
31. Porter, B. (2020, 23juni). Amazon introduces ‘Distance Assistant’. Amazon. Geraadpleegd op 15augustus2025, van https://www.aboutamazon.com/news/operations/amazon-introduces-distance-assistant
    [Google Scholar]
32. Wood, A. J. (2021). Algorithmic management: Consequences for work organisation and working conditions (JRC124874). European Commission.
    [Google Scholar]
33. Wujciak, M. (2019, 18oktober). 4 companies using machine learning to keep a close eye on employees. CCW Digital. Geraadpleegd van https://www.customercon-tactweekdigital.com/tools-technologies/articles/4-companies-using-machine-learning-to-keep-a-close-eye-on-employees
    [Google Scholar]
34. Zuboff, S. (2019). Het tijdperk van surveillancekapitalisme. Profiel Books.
    [Google Scholar]