Responsible AI (RAI) encompasses the science and practice of ensuring that AI design, development, and use are socially sustainable -- maximizing the benefits of technology while mitigating its risks. Industry practitioners play a crucial role in achieving the objectives of RAI, yet there is a persistent a shortage of consolidated educational resources and effective methods for teaching RAI to practitioners. In this paper, we present a stakeholder-first educational approach using interactive case studies to foster organizational and practitioner-level engagement and enhance learning about RAI. We detail our partnership with Meta, a global technology company, to co-develop and deliver RAI workshops to a diverse company audience. Assessment results show that participants found the workshops engaging and reported an improved understanding of RAI principles, along with increased motivation to apply them in their work.

翻译：负责任人工智能（RAI）涵盖确保人工智能设计、开发与应用具有社会可持续性的科学与实践——在最大化技术效益的同时降低其风险。行业从业者在实现RAI目标方面发挥着关键作用，然而目前始终缺乏面向从业者的系统性教育资源与有效的RAI教学方法。本文提出一种以利益相关者为核心的互动案例教学法，通过互动式案例研究促进组织与从业者层级的参与，并深化对RAI的认知。我们详细阐述了与全球科技公司Meta的合作，共同为多元化企业受众开发并实施RAI专题研讨会。评估结果表明，参与者认为研讨会具有启发性，并反馈其对RAI原则的理解得到提升，同时增强了在工作中应用这些原则的意愿。