AI 中文总结
本文明确了科技行业、人类服务组织及政策机构中社会工作者可担任的五类技术决策角色，以产品管理为例对照MSW培训内容，明确技术要求并扩展技术伦理，提出相关研究议程。
AI 中文摘要
人工智能正推动科技领域进入社会工作长期服务的领域，包括危机应对、心理健康护理、福利管理、职业康复和儿童福利。社会工作者以工具使用者、数据集主体及系统部署内容的第一响应者身份接触技术团队，但他们在决策制定场景之外研究这些系统。本文介绍了科技产品团队的标准角色及其各自控制的决策，梳理了AI时代的技术相关学科及与之契合的社会工作学术研究，并确定了社会工作者可在科技行业、人类服务组织和政策机构中担任的五类技术决策角色，涵盖产品、治理、组织技术领导、受赠者协作及政策工作。产品管理是本文的主要示例，我们将2022年教育政策与认证标准的九项能力与该角色执行的任务相对照，以展示社会工作硕士（MSW）培训已在教授该工作所需的方法；随后明确这些角色所需的技术理解，将该专业的技术伦理从使用扩展至部署，最后提出该专业技术劳动力的研究议程。
英文摘要
Artificial intelligence is moving the technology sector into domains social work has long served, including crisis response, mental health care, benefits administration, vocational rehabilitation, and child welfare. Social workers meet technology teams as users of their tools, as subjects in their datasets, and as first responders to what those systems deploy, yet they study these systems from outside the settings where the decisions are made. This paper introduces the standard roles on a technology product team and the decisions each one controls, reviews the disciplines around AI-era technology together with the social work scholarship that meets each, and identifies five groups of technology decision roles social workers can hold across the technology industry, human service organizations, and policy institutions, spanning product, governance, organizational technology leadership, grantee collaboration, and policy work. Product management is our primary example. We set the nine competencies of the 2022 Educational Policy and Accreditation Standards against the tasks that role performs to show where MSW training already teaches the method the job asks for. We then specify the technical understanding these roles require, extend the profession's technology ethics from use to deployment, and close with a research agenda for the profession's technology workforce.
