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

Ishita Kapur, Reeve Kennedy, Christy Hickman
{"title":"Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work.","authors":"Ishita Kapur, Reeve Kennedy, Christy Hickman","doi":"10.1080/26408066.2025.2470903","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Artificial Intelligence (AI) technologies are rapidly expanding across diverse contexts. As the reach of AI continues to grow, there is a need to examine student perspectives on the increasing prevalence of AI and AI-based practice approaches in social work.</p><p><strong>Materials and methods: </strong>In this qualitative study, we conducted structured interviews with 15 students in bachelors and masters social work programs. We developed an interview guide with a list of questions to ask students and no prior knowledge of AI was required by the students. The study was framed based on an interpretive phenomenological analysis approach.</p><p><strong>Results: </strong>Through thematic analysis, five key themes were developed, including 1) Risks associated with AI, 2) Ethical Concerns in AI and Technology Use, 3) Bias and Fairness in AI, 4) Applications and Possibilities of AI in Social Work, and 5) Training and Awareness of AI in Social Work.</p><p><strong>Discussion: </strong>Social workers can help disadvantaged clients by ensuring access to the various AI technologies and facilitating social welfare interventions created using these technologies. There is a need to address the gap in the existing literature about the use of AI in social work practice and education. Social work researchers can explore and conduct future studies that utilize mixed methods methodologies that can evaluate the use of AI in social work domains.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":73742,"journal":{"name":"Journal of evidence-based social work (2019)","volume":" ","pages":"1-23"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of evidence-based social work (2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/26408066.2025.2470903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Artificial Intelligence (AI) technologies are rapidly expanding across diverse contexts. As the reach of AI continues to grow, there is a need to examine student perspectives on the increasing prevalence of AI and AI-based practice approaches in social work.

Materials and methods: In this qualitative study, we conducted structured interviews with 15 students in bachelors and masters social work programs. We developed an interview guide with a list of questions to ask students and no prior knowledge of AI was required by the students. The study was framed based on an interpretive phenomenological analysis approach.

Results: Through thematic analysis, five key themes were developed, including 1) Risks associated with AI, 2) Ethical Concerns in AI and Technology Use, 3) Bias and Fairness in AI, 4) Applications and Possibilities of AI in Social Work, and 5) Training and Awareness of AI in Social Work.

Discussion: Social workers can help disadvantaged clients by ensuring access to the various AI technologies and facilitating social welfare interventions created using these technologies. There is a need to address the gap in the existing literature about the use of AI in social work practice and education. Social work researchers can explore and conduct future studies that utilize mixed methods methodologies that can evaluate the use of AI in social work domains.

Conclusion: 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.

人工智能算法、偏见和创新:对社会工作的启示。
目的:人工智能(AI)技术正在不同的环境中迅速扩展。随着人工智能的影响范围不断扩大,有必要研究学生对社会工作中人工智能和基于人工智能的实践方法日益普及的看法。材料与方法:在本质性研究中,我们对15名社会工作学士和硕士专业的学生进行了结构化访谈。我们制定了一份面试指南,其中列出了要问学生的问题清单,学生不需要事先了解人工智能。本研究的框架是基于解释现象学分析方法。结果:通过专题分析,形成了5个关键主题,包括1)人工智能相关风险、2)人工智能与技术使用中的伦理问题、3)人工智能中的偏见与公平、4)人工智能在社会工作中的应用与可能性、5)社会工作中的人工智能培训与意识。讨论:社会工作者可以通过确保获得各种人工智能技术和促进使用这些技术创建的社会福利干预措施来帮助弱势客户。有必要解决现有文献中关于在社会工作实践和教育中使用人工智能的差距。社会工作研究人员可以探索和开展未来的研究,利用混合方法来评估人工智能在社会工作领域的使用。结论:本研究强调了在社会工作教育和实践环境中提高人工智能意识的必要性,因为这些技术具有帮助社会工作实践各个方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信