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arXiv · 2407.14686

Using Case Studies to Teach Responsible AI to Industry Practitioners

Julia Stoyanovich·Rodrigo Kreis de Paula·Armanda Lewis·Chloe Zheng
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Abstract

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.

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Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis, Chloe Zheng. 2024-07-19. Using Case Studies to Teach Responsible AI to Industry Practitioners. https://arxiv.org/abs/2407.14686

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