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Artificial intelligence at the workplace and the impacts on work organisation, working conditions and ethics

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  • Lechardoy, Lucie
  • López Forés, Laura
  • Codagnone, Cristiano

Abstract

The Digital Compass sets the goal to increase the digitalisation of businesses and take-up of artificial intelligence (AI). The use of AI-based technologies, such as algorithmic management, AI-based robots and wearables using algorithms for data processing, is increasing across countries and sectors. Based on a literature review and the insight from exploratory case studies at company level, this paper presents the main applications of AI-based technologies at the workplace and their impacts for work organisation, working conditions and ethics. Evidence shows a range of both positive and negative impacts of the use of AI on work organisation and working conditions as well as several ethical concerns. To address some of these concerns, a set of ethical guidelines and recommendations from EU, international and national public authorities and social partners have emerged in recent years. The paper presents and compares the different initiatives, highlighting the current gaps to ensure the protection of workers and working conditions while contributing towards the digitalisation goals of the Digital Compass.

Suggested Citation

  • Lechardoy, Lucie & López Forés, Laura & Codagnone, Cristiano, 2023. "Artificial intelligence at the workplace and the impacts on work organisation, working conditions and ethics," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277997, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse23:277997
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    References listed on IDEAS

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    1. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    2. António B. Moniz & Bettina-Johanna Krings, 2016. "Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry," Societies, MDPI, vol. 6(3), pages 1-21, August.
    3. Alexandros Pasparakis & Jelle De Vries & René De Koster, 2023. "Assessing the impact of human–robot collaborative order picking systems on warehouse workers," International Journal of Production Research, Taylor & Francis Journals, vol. 61(22), pages 7776-7790, November.
    4. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    5. Anna Lena Hunkenschroer & Christoph Luetge, 2022. "Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda," Journal of Business Ethics, Springer, vol. 178(4), pages 977-1007, July.
    6. Sarah Bankins & Paul Formosa & Yannick Griep & Deborah Richards, 2022. "AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context," Information Systems Frontiers, Springer, vol. 24(3), pages 857-875, June.
    7. Mohammad Hossein Jarrahi & Christoph Lutz & Karen Boyd & Carsten Oesterlund & Matthew Willis, 2023. "Artificial intelligence in the work context," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(3), pages 303-310, March.
    8. Ulrich Leicht-Deobald & Thorsten Busch & Christoph Schank & Antoinette Weibel & Simon Schafheitle & Isabelle Wildhaber & Gabriel Kasper, 2019. "The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity," Journal of Business Ethics, Springer, vol. 160(2), pages 377-392, December.
    9. Sara Reardon, 2019. "Rise of Robot Radiologists," Nature, Nature, vol. 576(7787), pages 54-58, December.
    10. Sakiko Fukuda‐Parr & Elizabeth Gibbons, 2021. "Emerging Consensus on ‘Ethical AI’: Human Rights Critique of Stakeholder Guidelines," Global Policy, London School of Economics and Political Science, vol. 12(S6), pages 32-44, July.
    11. Fragapane, Giuseppe & de Koster, René & Sgarbossa, Fabio & Strandhagen, Jan Ola, 2021. "Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 294(2), pages 405-426.
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    Keywords

    Artificial intelligence; workplace; impacts; work organisation; working conditions; ethics; legislative framework;
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