IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/20760_5.html
   My bibliography  Save this book chapter

Digital transitional justice: unpacking the black box

In: Handbook on the Politics and Governance of Big Data and Artificial Intelligence

Author

Listed:
  • Christopher K. Lamont
  • Medlir Mema

Abstract

Artificial intelligence (AI) has transformed public policy and governance with machine learning (ML) facilitating decision-making in security, criminal justice, and surveillance. AI has also become increasingly opaque and autonomous, as recent technological advancements have led to the development of AI-enabled tools that require almost no human input. However, despite these developments, transitional justice practice and scholarship has not yet engaged in a sustained manner with the question of what these developments mean for the field. This contribution will highlight how transitional justice, with its focus on dealing with the legacy of large-scale and systemic atrocity, is faced with dilemmas presented by new digital justice spaces, and it will also explore how these dilemmas will grow as digital spaces continue to expand. By drawing upon a spatial framework, this chapter will explore these emergent digital spaces and unpack AI’s impact on transitional justice practice and research.

Suggested Citation

  • Christopher K. Lamont & Medlir Mema, 2023. "Digital transitional justice: unpacking the black box," Chapters, in: Andrej Zwitter & Oskar J. Gstrein (ed.), Handbook on the Politics and Governance of Big Data and Artificial Intelligence, chapter 5, pages 139-166, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:20760_5
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/edcoll/9781800887374/9781800887374.00016.xml
    Download Restriction: no
    ---><---

    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:elg:eechap:20760_5. 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.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.