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.
@article{arxiv.2407.14686,
title = {Using Case Studies to Teach Responsible AI to Industry Practitioners},
author = {Julia Stoyanovich and Rodrigo Kreis de Paula and Armanda Lewis and Chloe Zheng},
journal= {arXiv preprint arXiv:2407.14686},
year = {2024}
}