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Value Sensitive Design and power in socio-technical ecosystems

Author

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  • Jacobs, Mattis
  • Kurtz, Christian
  • Simon, Judith
  • Böhmann, Tilo

Abstract

Recent European policy papers call for the consideration of human values in the design of information technology. Value Sensitive Design (VSD) provides a framework for systematically accounting for values in the design of technical artefacts. This paper examines how the distribution of power within socio-technical ecosystems poses a challenge for the application of VSD. It identifies four crucial factors determining the effect of the distribution of power on VSD: the level of decentralisation of the ecosystem; if VSD is applied at the core or periphery; when power can be exercised (temporality); and the phase of VSD (conceptual, empirical, and technical) that power can be exercised in. Based on these factors, it outlines how the challenge of accounting for power can be addressed.

Suggested Citation

  • Jacobs, Mattis & Kurtz, Christian & Simon, Judith & Böhmann, Tilo, 2021. "Value Sensitive Design and power in socio-technical ecosystems," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(3), pages 1-26.
  • Handle: RePEc:zbw:iprjir:245345
    DOI: 10.14763/2021.3.1580
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    References listed on IDEAS

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    1. Katie Shilton & Daniel Greene, 2019. "Linking Platforms, Practices, and Developer Ethics: Levers for Privacy Discourse in Mobile Application Development," Journal of Business Ethics, Springer, vol. 155(1), pages 131-146, March.
    2. Amrit Tiwana & Benn Konsynski, 2010. "Complementarities Between Organizational IT Architecture and Governance Structure," Information Systems Research, INFORMS, vol. 21(2), pages 288-304, June.
    3. Bodó, Balázs & Brekke, Jaya Klara & Hoepman, Jaap-Henk, 2021. "Decentralisation: A multidisciplinary perspective," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(2), pages 1-21.
    4. De Filippi, Primavera & Mannan, Morshed & Reijers, Wessel, 2020. "Blockchain as a confidence machine: The problem of trust & challenges of governance," Technology in Society, Elsevier, vol. 62(C).
    5. Leerssen, Paddy & Ausloos, Jef & Zarouali, Brahim & Helberger, Natali & de Vreese, Claes H., 2019. "Platform ad archives: promises and pitfalls," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 8(4), pages 1-21.
    6. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    7. Simon, Judith & Wong, Pak Hang & Rieder, Gernot, 2020. "Algorithmic bias and the Value Sensitive Design approach," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(4), pages 1-16.
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