"The Conduit by which Change Happens": Processes, Barriers, and Support for Interpersonal Learning about Responsible AI
Jaemarie Solyst, Lauren Wilcox, Michael Madaio
Abstract
Responsible AI (RAI) practices are increasingly important for practitioners in anticipating and addressing potential harms of AI, and emerging research suggests that AI practitioners often learn about RAI on-the-job.More generally, learning at work is social; thus, this work explores the interpersonal aspects of learning about RAI on-the-job.Through workshops with 21 industry-based RAI educators, we offer the first empirical investigation into interpersonal processes and dimensions of learning about RAI at work.This study finds key phases of RAI are sites for ongoing interpersonal learning, such as critical reflection about potential RAI impacts and collective sense-making about operationalizing RAI principles.We uncover a significant gap between these interpersonal learning processes and current approaches to learning about RAI.Finally, we identify barriers and supports for interpersonal learning about RAI.We close by discussing opportunities to better enable interpersonal learning about RAI on-the-job and the broader implications of interpersonal learning for RAI.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 9f7564cf-9a25-4f7b-9d3d-34e66b53083aCited by top-tier papers1
Ask how each one uses itRelated papers
- Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI ChallengesQiaosi Wang, Michael Madaio, Shaun K. Kane, Shivani Kapania et al.CHI 2023 · 90 citations
- AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design StagesMuzhe Wu, Yanzhi Zhao, Shuyi Han, Michael Xieyang Liu et al.CSCW 2026 · 1 citation
- Towards a Responsible AI Organizational Maturity ModelAmy Heger, Samir Passi, Shipi Dhanorkar, Zoe Kahn et al.CSCW 2025 · 5 citations
- A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness EvaluationsGlen Berman, Nitesh Goyal, Michael MadaioCHI 2024 · 40 citations
- Guidelines for Integrating Value Sensitive Design in Responsible AI ToolkitsMalak Sadek, Marios Constantinides, Daniele Quercia, Céline MougenotCHI 2024 · 49 citations
