Theorising Algorithmic Justice

Marjanovic, O; Cecez-Kecmanovic, D; Vidgen, R

Theorising Algorithmic Justice

Marjanovic, O

Cecez-Kecmanovic, D Vidgen, R

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Publisher:: TAYLOR & FRANCIS LTD
Publication Type:: Journal Article
Citation:: European Journal of Information Systems, 2022, 31, (3), pp. 269-287
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Marjanovic, O https://orcid.org/0000-0001-8362-0982
dc.contributor.author	Cecez-Kecmanovic, D
dc.contributor.author	Vidgen, R
dc.date.accessioned	2023-04-05T03:55:17Z
dc.date.available	2023-04-05T03:55:17Z
dc.date.issued	2022-01-01
dc.identifier.citation	European Journal of Information Systems, 2022, 31, (3), pp. 269-287
dc.identifier.issn	0960-085X
dc.identifier.issn	1476-9344
dc.identifier.uri	http://hdl.handle.net/10453/169167
dc.description.abstract	The mounting evidence of unintended harmful social consequences of automated algorithmic decision-making (AADM), powered by AI and big data, in transformative services (e.g., welfare services), is startling. The algorithmic harm experienced by individuals, communities and society-at-large involves new injustice claims and disputes that go beyond issues of social justice. Drawing from the theory of “abnormal justice” in this paper we articulate a new theory of algorithmic justice that addresses the questions: WHAT is the matter of algorithmic justice? WHO counts as a subject of algorithmic justice? HOW are algorithmic justices performed? and How to address and resolve disputes about the WHAT, WHO and HOW of algorithmic justice? We illustrate the theory of algorithmic justice by drawing from a case of AADM in social welfare services, widely adopted by governments around the world. Our research points to datafication, technological inscribing and the systemic nature of injustices as important IS-specific aspects of algorithmic justice. Our main practical contribution comes from the articulation of algorithmic justice as a framework that (1) makes visible the injustices related to the “what”, “who”, and “how” of AADM in transformative services, and (2) provides further insights into how we might address and resolve these algorithmic injustices.
dc.language	English
dc.publisher	TAYLOR & FRANCIS LTD
dc.relation.ispartof	European Journal of Information Systems
dc.relation.isbasedon	10.1080/0960085X.2021.1934130
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0806 Information Systems, 1503 Business and Management
dc.subject.classification	Information Systems
dc.title	Theorising Algorithmic Justice
dc.type	Journal Article
utslib.citation.volume	31
utslib.for	0806 Information Systems
utslib.for	1503 Business and Management
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-04-05T03:55:15Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	31
utslib.citation.issue	3

Abstract:

The mounting evidence of unintended harmful social consequences of automated algorithmic decision-making (AADM), powered by AI and big data, in transformative services (e.g., welfare services), is startling. The algorithmic harm experienced by individuals, communities and society-at-large involves new injustice claims and disputes that go beyond issues of social justice. Drawing from the theory of “abnormal justice” in this paper we articulate a new theory of algorithmic justice that addresses the questions: WHAT is the matter of algorithmic justice? WHO counts as a subject of algorithmic justice? HOW are algorithmic justices performed? and How to address and resolve disputes about the WHAT, WHO and HOW of algorithmic justice? We illustrate the theory of algorithmic justice by drawing from a case of AADM in social welfare services, widely adopted by governments around the world. Our research points to datafication, technological inscribing and the systemic nature of injustices as important IS-specific aspects of algorithmic justice. Our main practical contribution comes from the articulation of algorithmic justice as a framework that (1) makes visible the injustices related to the “what”, “who”, and “how” of AADM in transformative services, and (2) provides further insights into how we might address and resolve these algorithmic injustices.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169167