IDEAS home Printed from https://ideas.repec.org/p/zbw/itse23/277997.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/277997/1/Lechardoy-et-al.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    6. 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.
    7. 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.
    8. Sara Reardon, 2019. "Rise of Robot Radiologists," Nature, Nature, vol. 576(7787), pages 54-58, December.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    2. Krings, Bettina-Johanna & Moniz, António & Frey, Philipp, 2021. "Technology as enabler of the automation of work? Current societal challenges for a future perspective of work [A tecnologia como facilitadora da automação do trabalho? Desafios sociais atuais para ," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(21), pages 7-30.
    3. Lukas Lanz & Roman Briker & Fabiola H. Gerpott, 2024. "Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning," Journal of Business Ethics, Springer, vol. 189(3), pages 625-646, January.
    4. Sarah Bankins & Paul Formosa, 2023. "The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work," Journal of Business Ethics, Springer, vol. 185(4), pages 725-740, July.
    5. Maria Figueroa-Armijos & Brent B. Clark & Serge P. da Motta Veiga, 2023. "Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence," Journal of Business Ethics, Springer, vol. 186(1), pages 179-197, August.
    6. Moniz, António Brandão & Krings, Bettina-Johanna, 2022. "“Manufacturing Life” in Real Work Processes? New Manufacturing Environments with Micro- and Nanorobotics," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest ar.
    7. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    8. Genz, Sabrina & Schnabel, Claus, 2023. "Digitalization is not gender-neutral," Economics Letters, Elsevier, vol. 230(C).
    9. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    10. Radu Vranceanu & Angela Sutan, 2023. "Should the firm or the employee pay for upskilling? A contract theory approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 197-207, January.
    11. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    12. Osea Giuntella & Johannes König & Luca Stella, 2023. "Artificial Intelligence and Workers’ Well-being," SOEPpapers on Multidisciplinary Panel Data Research 1194, DIW Berlin, The German Socio-Economic Panel (SOEP).
    13. Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.
    14. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," DISCE - Quaderni del Dipartimento di Politica Economica dipe0028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    15. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    16. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.
    17. Chen, Wanying & Gong, Yeming & Chen, Qi & Wang, Hongwei, 2024. "Does battery management matter? Performance evaluation and operating policies in a self-climbing robotic warehouse," European Journal of Operational Research, Elsevier, vol. 312(1), pages 164-181.
    18. Armanda Cetrulo & Giovanni Dosi & Angelo Moro & Linnea Nelli & Maria Enrica Virgillito, 2023. "Automation, digitalization and decarbonization in the European automotive industry: a roadmap towards a just transition," LEM Papers Series 2023/36, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    19. Gartner, Hermann & Stüber, Heiko, 2019. "Strukturwandel am Arbeitsmarkt seit den 70er Jahren: Arbeitsplatzverluste werden durch neue Arbeitsplätze immer wieder ausgeglichen (Structural change on the labor market since the 70s : The destructi," IAB-Kurzbericht 201913, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    20. Giuntella, Osea & König, Johannes & Stella, Luca, 2023. "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers 16485, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Artificial intelligence; workplace; impacts; work organisation; working conditions; ethics; legislative framework;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:itse23:277997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itseurope.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.