IDEAS home Printed from https://ideas.repec.org/h/spr/paitcp/978-3-319-22994-2_8.html
   My bibliography  Save this book chapter

Algorithmic Discrimination: Big Data Analytics and the Future of the Internet

In: The Future Internet

Author

Listed:
  • Jenifer Winter

    (University of Hawai‘i at Mānoa)

Abstract

This chapter discusses several technical changes related to the Internet—the social semantic web and linked data, the instrumentation of natural and social processes, big data and graphing analytics, and cloud-based facial recognition—and focuses on several threats resulting from these developments. As billions, or trillions, of everyday objects, including the human body itself, are equipped with sensors, a variety of new types of data will be collected, aggregated, and linked to other personally identifiable records. These changes transgress personal privacy boundaries and lead to unjust algorithmic discrimination and loss of anonymity, resulting in undemocratic shifts in power. Three alternative scenarios for the future Internet are presented as contrasting possibilities to explore key uncertainties about the future for the year 2045. Because the framework for the future Internet is already developed and numerous aspects of it are already appearing around us, it is essential that we critically examine these systems and associated narratives in order to stimulate meaningful discussion and design policies and systems that respect citizen concerns. By examining and testing alternative visions of the future Internet, we can more closely align its development with ethical, human-centered insight.

Suggested Citation

  • Jenifer Winter, 2015. "Algorithmic Discrimination: Big Data Analytics and the Future of the Internet," Public Administration and Information Technology, in: Jenifer Winter & Ryota Ono (ed.), The Future Internet, edition 1, chapter 0, pages 125-140, Springer.
    • Handle: RePEc:spr:paitcp:978-3-319-22994-2_8
    DOI: 10.1007/978-3-319-22994-2_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthew Tenney & Renee Sieber, 2016. "Data-Driven Participation: Algorithms, Cities, Citizens, and Corporate Control," Urban Planning, Cogitatio Press, vol. 1(2), pages 101-113.
    2. Ingrid Poncin & Wafa Hammedi & Caroline Lancelot-Miltgen, 2022. "Technologies, expériences, services et au-delà ! Plaidoyer pour développer la recherche sur les technologies, les expériences et les services," Post-Print hal-03818050, HAL.
    3. Drago? BÃŽGU & Mihail-Valentin CERNEA, 2019. "Algorithmic Bias In Current Hiring Practices: An Ethical Examination," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1068-1073, November.
    4. Edward Simpson & David Bradley & John Palfreyman & Roger White, 2022. "Sustainable Society: Wellbeing and Technology—3 Case Studies in Decision Making," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    5. Ghosh, Dipayan, 2021. "The commercialization of bias in cashless India," Telecommunications Policy, Elsevier, vol. 45(5).

    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:spr:paitcp:978-3-319-22994-2_8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.