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Cited by 16Ethics and Social Impacts of AIInformation Systems Theories and ImplementationSmart Cities and Technologies

Algorithmic Pollution: Understanding and Responding to Negative Consequences of Algorithmic Decision-Making

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Marjanovic, Olivera, Cecez-Kecmanovic, Dubravka, Vidgen, Richard·2018·IFIP Advances in Information and Communication Technology
DOI 10.1007/978-3-030-04091-8_4
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Crossref · 10.1007/978-3-030-04091-8_4

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  • Many variables are explicitly defined as 'sensitive' by specific legal frameworks.

    “We note that many variables are explicitly deined as łsensitivež by speciic legal frameworks, see [25,129,130,191,192,209,268,280,306] and the references therein.”

    From Fairness in machine learning: A survey (2024) · cites this paper as [209]

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Authors
Marjanovic, O., Cecez-Kecmanovic, D., & Vidgen, R.
Affiliations
  • University of Technology Sydney (AU)
  • UNSW Sydney (AU)
Corresponding author
Marjanovic, Olivera
ORCID
Venue
IFIP Advances in Information and Communication Technology
Publisher
Springer International Publishing
Published
2018
Volume
AICT-543
Pages
31-47
ISSN
  • 1868-422X (ISSN-L)
  • 1868-4238
DOI
10.1007/978-3-030-04091-8_4
OpenAlex
W2901799102
Cited by
15
References
47
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 1
FWCI
2.24
Type
conference paper
Language
en
Open access
Licence
Locations
  • IFIP advances in information and communication technology (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
Keywords
algorithmic decision-making, unintended consequences, sociomateriality, transformative services, social support services, health care, environmental movement, digital society

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