Predictive analytics and child welfare: Toward data justice

Redden, Joanna ORCID: https://orcid.org/0000-0002-9480-0951 2020. Predictive analytics and child welfare: Toward data justice. Canadian Journal of Communication 45 (1) , pp. 101-111. 10.22230/cjc.2020v45n1a3479

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Abstract

Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention. Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight. Conclusion and implications These systems are being introduced before adequate review and necessary public debate on whether they should be used in areas of social care. In order for such debate to occur, there needs to be: a) more information about where and how these systems are being implemented; b) greater effort to generate wider public deliberation about their use; and c) more investigation of their impact on practitioners and families.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Journalism, Media and Culture
Publisher:	Canadian Journal of Communication
ISSN:	1499-6642
Date of First Compliant Deposit:	3 February 2020
Date of Acceptance:	28 January 2020
Last Modified:	29 Nov 2024 22:00
URI:	https://orca.cardiff.ac.uk/id/eprint/129221

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