Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work

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.

Authors

Institutions

Publication Details

Journal
Journal of Evidence-Based Social Work
Published
2025-02-26
DOI
https://doi.org/10.1080/26408066.2025.2470903
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work

Reeve S. Kennedy, Caroline Hickman, Ishita Kapur
1 citations
Journal of Evidence-Based Social Work
Artificial Intelligence in Healthcare and Education
0.65
article

Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work

Reeve S. Kennedy, Caroline Hickman, Ishita Kapur
article en
1 citations

Abstract

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.

Journal of Evidence-Based Social WorkVol. 22(4)
East Carolina University (US), University of Tennessee at Knoxville (US)
Decent work and economic growth
Openalex Percentile: Top 27%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.