Using Case Studies to Teach Responsible AI to Industry Practitioners

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

Using Case Studies to Teach Responsible AI to Industry Practitioners

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arxiv 2407.14686 v3 pith:BN4GVDCU submitted 2024-07-19 cs.HC cs.CY

Using Case Studies to Teach Responsible AI to Industry Practitioners

Julia Stoyanovich , Rodrigo Kreis de Paula , Armanda Lewis , Chloe Zheng This is my paper

classification cs.HC cs.CY

keywords practitionerscasecompanyeducationalindustryresponsiblestudiestechnology

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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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