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arXiv 2407.14686cs.HCcs.CY
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使用案例研究向行业从业者教授负责任的AI

Using Case Studies to Teach Responsible AI to Industry Practitioners

Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng

AI总结:

本文提出了一种利益相关者优先的教育方法,通过与Meta合作开发互动案例研究研讨会,有效提升了行业从业者对负责任AI原则的理解和应用动机。

摘要:

负责任的AI(RAI)涵盖确保AI设计、开发和使用在社会上具有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目标中发挥着关键作用,然而,在向从业者教授RAI方面,一直缺乏整合的教育资源和有效方法。在本文中,我们提出了一种利益相关者优先的教育方法,使用互动案例研究来促进组织和从业者层面的参与,并加强对RAI的学习。我们详细介绍了与全球技术公司Meta的合作,共同开发并向多元化的公司受众提供RAI研讨会。评估结果显示,参与者认为研讨会具有吸引力,并报告称对RAI原则的理解有所改善,同时在工作中的应用动机也有所增强。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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