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Claire Ingram Bogusz

Biographic Data

ID4425977
NAMEClaire Ingram Bogusz
GIVEN NAMESClaire Ingram
FAMILY NAMEBogusz
SIGNATUREBOGUSZ C I
AFFILIATIONSUppsala University
ORCID0000-0001-9160-347X
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX1
  • The Artificial Recruiter

    Open Access•Sofia Larsson, James M White et al.•ARTICLE•Social Inclusion•2024•Cited by: 1•References: 8

    Extant literature points to how the risk of discrimination is intrinsic to AI systems owing to the dependence on training data and the difficulty of post hoc algorithmic auditing. Transparency and auditability limitations are problematic both for companies’ prevention efforts and for government oversight, both in terms of how artificial intelligence (AI) systems function and how large‐scale digital platforms support recruitment processes. This ar…

  • Leave it to the parents

    Open Access•Claire Ingram Bogusz, Johan Magnusson et al.•ARTICLE•Government Information Quarterly•2024•Cited by: 1•References: 6

  • The Artificial Recruiter

    Open Access•Sofia Larsson, James M White et al.•ARTICLE•Social Inclusion•2024•Cited by: 1•References: 8

    Extant literature points to how the risk of discrimination is intrinsic to AI systems owing to the dependence on training data and the difficulty of post hoc algorithmic auditing. Transparency and auditability limitations are problematic both for companies’ prevention efforts and for government oversight, both in terms of how artificial intelligence (AI) systems function and how large‐scale digital platforms support recruitment processes. This ar…

  • Leave it to the parents

    Open Access•Claire Ingram Bogusz, Johan Magnusson et al.•ARTICLE•Government Information Quarterly•2024•Cited by: 1•References: 6

  • The Artificial Recruiter

    Open Access•Sofia Larsson, James M White et al.•ARTICLE•Social Inclusion•2024•Cited by: 1•References: 8

    Extant literature points to how the risk of discrimination is intrinsic to AI systems owing to the dependence on training data and the difficulty of post hoc algorithmic auditing. Transparency and auditability limitations are problematic both for companies’ prevention efforts and for government oversight, both in terms of how artificial intelligence (AI) systems function and how large‐scale digital platforms support recruitment processes. This ar…

  • Leave it to the parents

    Open Access•Claire Ingram Bogusz, Johan Magnusson et al.•ARTICLE•Government Information Quarterly•2024•Cited by: 1•References: 6

Business (2 works) · Political science (2 works) · Blockchain Technology Applications and Security (1 work) · Computer Science (1 work) · Digital transformation (1 work) · Digital Transformation in Law (1 work) · E-Government and Public Services (1 work) · Ethics and Social Impacts of AI (1 work) · FinTech, Crowdfunding, Digital Finance (1 work) · Impact of AI and Big Data on Business and Society (1 work)

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