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Artificial Intelligence Algorithms, Bias, and Innovation

Implications for Social Work

Bibliographic Data

ID6435259
AuthorsIshita Kapur (0009-0001-6597-0353), Reeve S Kennedy (0000-0003-4520-814X), Caroline Hickman (0000-0001-7264-7178)
Year2025
Volume22
Issue4
Pages548-570
Publication date2025-02-26
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Evidence-Based Social Work (JOURNAL)
Journal identifiersISSN: 1543-3714 • E-ISSN: 1543-3722
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/26408066.2025.2470903
PMID40008407
OpenAlexW4407979729
LanguageEN
Citations received1
References cited7

This study highlights the need to increase awareness of AI in social work education and practice settings given the potential of these technologies to aid various aspects of social work practice

Machine learning · Work (physics · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Artificial Intelligence

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    Open Access•Mahboobeh Parsapoor, Jacob W Koudys et al.•Frontiers in Psychiatry•2023

  • Artificial intelligence-assisted criminal justice reporting

    Open Access•Carl Dement, Melissa Inglis•Criminology & Criminal Justice•2024

  • Decision Support Systems, Social Justice and Algorithmic Accountability in Social Work

    Philip Gillingham•Practice•2019

  • In the Echoes of Tomorrow

    Buğra Tulğan, Merve Deniz Pak Güre•Journal of Social Service Research•2024

  • Difficulties in the Transition to Adulthood

    Stephanie Cosner Berzin•Social Service Review•2008

  • Back to the ‘social’ of social work

    Open Access•Ping Kwong Kam•International Social Work•2012

  • Using thematic analysis in psychology

    Open Access•Braun, Virginia Braun et al.•Qualitative Research in Psychology•2006

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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