Using Case Studies to Teach Responsible AI to Industry Practitioners
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866913620272611328 |
|---|---|
| author | Stoyanovich, Julia de Paula, Rodrigo Kreis Lewis, Armanda Zheng, Chloe |
| author_facet | Stoyanovich, Julia de Paula, Rodrigo Kreis Lewis, Armanda Zheng, Chloe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_14686 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Using Case Studies to Teach Responsible AI to Industry Practitioners Stoyanovich, Julia de Paula, Rodrigo Kreis Lewis, Armanda Zheng, Chloe Human-Computer Interaction Computers and Society 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. |
| title | Using Case Studies to Teach Responsible AI to Industry Practitioners |
| topic | Human-Computer Interaction Computers and Society |
| url | https://arxiv.org/abs/2407.14686 |