拒绝落后:在心理健康社会工作中接受人工智能的道德义务。

IF 1.4
Hanni B Flaherty, Preeti Krishnan
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引用次数: 0

摘要

人工智能(AI)与精神卫生保健的融合为社会工作专业提供了深刻的机遇和紧迫的伦理责任。随着社会工作者努力提供公平、以客户为中心和基于证据的护理,人工智能提供了提高诊断准确性、简化治疗计划和增加获取当前研究成果的工具。然而,采用人工智能也引发了严重的担忧,包括算法偏见、数据隐私以及对以人为本的实践的潜在侵蚀。这篇社论认为,社会工作者在道德上必须参与人工智能技术,并积极塑造其发展和应用,以符合职业价值观。通过积极参与跨学科的人工智能计划,倡导透明度和包容性,并确保人工智能工具用于支持而不是取代人类判断,社会工作者可以帮助确保技术创新服务于客户和社区的多样化需求。社论最后概述了社会工作领导的关键领域,包括研究翻译、公平获取人工智能和道德治理,强调精神卫生保健的未来取决于以道德为基础、对社会负责的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refusing to Fall Behind: The Ethical Obligation to Embrace AI in Mental Health Social Work.

The integration of artificial intelligence (AI) into mental health care presents both profound opportunities and pressing ethical responsibilities for the social work profession. As social workers strive to deliver equitable, client-centered, and evidence-based care, AI offers tools to enhance diagnostic accuracy, streamline treatment planning, and increase access to current research. However, adopting AI also raises critical concerns, including algorithmic bias, data privacy, and the potential erosion of human-centered practice. This editorial argues that social workers have an ethical imperative to engage with AI technologies and proactively shape their development and application to align with the profession's values. By actively participating in interdisciplinary AI initiatives, advocating for transparency and inclusion, and ensuring that AI tools are used to support rather than supplant human judgment, social workers can help ensure that technological innovation serves the diverse needs of clients and communities. The editorial concludes by outlining key areas for social work leadership, including research translation, equitable AI access, and ethical governance, emphasizing that the future of mental health care depends on ethically grounded, socially responsible innovation.

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