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 |
2022-07-11T02:20:49Z |
|
dc.date.available |
2022-07-11T02:20:49Z |
|
dc.date.issued |
2021-05-11 |
|
dc.identifier.citation |
Journal of Information Technology, 2021, pp. 026839622199967 |
|
dc.identifier.issn |
2527-9467 |
|
dc.identifier.issn |
1466-4437 |
|
dc.identifier.uri |
http://hdl.handle.net/10453/158768
|
|
dc.description.abstract |
<jats:p> In this paper, we focus on the growing evidence of unintended harmful societal effects of automated algorithmic decision-making (AADM) in transformative services (e.g., social welfare, healthcare, education, policing and criminal justice), for individuals, communities and society at large. Drawing from the long-established research on social pollution, in particular its contemporary ‘pollution-as-harm’ notion, we put forward a claim, and provide evidence, that these harmful effects constitute a new type of digital social pollution, which we name ‘algorithmic pollution’. Words do matter, and by using the term ‘pollution’, not as a metaphor, but as a transformative redefinition of the digital harm performed by AADM, we seek to make it visible and recognized. By adopting a critical performative perspective, we explain how the execution of AADM produces harm and thus performs algorithmic pollution. Recognition of the potential for unintended harmful effects of algorithmic pollution, and their examination as such, leads us to articulate the need for transformative actions to prevent, detect, redress, mitigate, and educate about algorithmic harm. These actions, in turn, open up new research challenges for the information systems community. </jats:p> |
|
dc.language |
en |
|
dc.publisher |
SAGE Publications |
|
dc.relation.ispartof |
Journal of Information Technology |
|
dc.relation.isbasedon |
10.1177/0268396221999671 |
|
dc.rights |
Marjanovic, Olivera; Cecez-Kecmanovic, Dubravka; Vidgen, Richard | Algorithmic Pollution: Making the Invisible Visible | Journal of Information Technology
Copyright © [2022] (Copyright Holder). 10.1177/0268396221999671 |
|
dc.rights |
info:eu-repo/semantics/openAccess |
|
dc.subject |
08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, 17 Psychology and Cognitive Sciences |
|
dc.subject.classification |
Information Systems |
|
dc.title |
Algorithmic Pollution: Making the Invisible Visible |
|
dc.type |
Journal Article |
|
utslib.for |
08 Information and Computing Sciences |
|
utslib.for |
15 Commerce, Management, Tourism and Services |
|
utslib.for |
17 Psychology and Cognitive Sciences |
|
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 |
open_access |
* |
dc.date.updated |
2022-07-11T02:20:45Z |
|
pubs.publication-status |
Published online |
|