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Lookup NU author(s): Dr Tanya Krupiy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Traditionally, human rights activists gathered evidence about violations of particular individuals' human rights to demand that states change their conduct and adopt measures to prevent further violations. Deploying artificial intelligence as part of the decision-making process creates challenges for activists to detect all sources of harm and demand that states take action to address the harms. Abeba Birhane points out that employing artificial intelligence technology can generate harmful impacts that are either difficult to detect or invisible. If harms remain invisible, then it is difficult for human rights defenders to document them. Equally, it becomes challenging to articulate why the harms in question constitute international human rights law violations. As a result, it is harder for human rights defenders to call on states to take action to safeguard fundamental rights. This article puts forward that individuals can make harms arising from the deployment of artificial intelligence as part of the decision-making process more visible by using the theoretical framework of media ecology. It demonstrates that media ecology can provide an additional tool for human rights activists to detect how using artificial intelligence as part of the decision-making process can undermine the enjoyment of a human right. The article uses the right to mental health as a case study to develop this argument. In order to contextualise the analysis, the article focuses on the employment of artificial intelligence to screen candidates for employment as a case study.
Author(s): Krupiy TK
Publication type: Article
Publication status: Published
Journal: New Explorations: Studies in Culture and Communication
Year: 2024
Volume: 4
Issue: 1
Pages: 1-42
Online publication date: 07/05/2024
Acceptance date: 12/03/2024
Date deposited: 31/05/2024
ISSN (electronic): 2563-3198
Publisher: University of Toronto
URL: https://jps.library.utoronto.ca/index.php/nexj/article/view/43138/
