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Towards a Learner-Centered Explainable AI: Lessons from the learning sciences
- Source :
- Human-Centered Explainable AI Workshop at ACM CHI Conference on Human Factors in Computing Systems 2022
- Publication Year :
- 2022
-
Abstract
- In this short paper, we argue for a refocusing of XAI around human learning goals. Drawing upon approaches and theories from the learning sciences, we propose a framework for the learner-centered design and evaluation of XAI systems. We illustrate our framework through an ongoing case study in the context of AI-augmented social work.<br />Comment: 7 pages, 2 figures
- Subjects :
- Computer Science - Human-Computer Interaction
Subjects
Details
- Database :
- arXiv
- Journal :
- Human-Centered Explainable AI Workshop at ACM CHI Conference on Human Factors in Computing Systems 2022
- Publication Type :
- Report
- Accession number :
- edsarx.2212.05588
- Document Type :
- Working Paper