人工智能算法,偏见和创新:对社会工作的影响
Ishita Kapur1, Reeve Kennedy2, Christy Hickman1
1College of Social Work, The University of Tennessee, Knoxville, USA.
Journal of evidence-based social work (2019)
|February 26, 2025
概括
社会工作的学生表达了对人工智能 (AI) 整合的担忧和发现了机会. 提高人工智能意识和培训对于道德社会工作实践和教育至关重要.
科学领域:
- 社会工作 社会工作 社会工作
- 人工智能的人工智能
- 技术 伦理 技术道德
背景情况:
- 人工智能 (AI) 越来越多地融入各种专业领域.
- 越来越多的人工智能存在,需要了解它在社会工作中的影响.
- 在社会工作教育和实践中,学生对人工智能的看法仍然未被充分探索.
研究的目的:
- 调查社会工作学生对AI在他们的领域不断扩大的作用的看法.
- 确定学生对AI在社会工作实践中的潜在好处和挑战的看法.
- 探索社会工作计划中需要人工智能相关的培训和意识.
主要方法:
- 使用结构化采访对15名社会工作学生 (学士和士) 进行定性研究.
- 使用了一种解释性的现象学分析方法.
- 面试指南是为了探索AI视角而开发的,不需要先前的AI知识.
主要成果:
- 主题分析揭示了五个关键主题:人工智能风险,道德问题,偏见和公平,社会工作中的应用以及培训需求.
- 学生认识到AI在社会工作中的潜在应用以及相关的伦理考虑.
- 一个重要的主题强调了加强人工智能培训和提高社会工作学生意识的必要性.
结论:
- 调查结果强调了将人工智能意识纳入社会工作教育和实践的重要性.
- 社会工作者可以利用人工智能来支持弱势客户并改善社会福利干预措施.
- 建议进行进一步的研究,包括混合方法研究,以评估人工智能对社会工作领域的影响.
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