论文标题

迈向以学习者为中心的可解释的AI:学习科学的教训

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences

论文作者

Kawakami, Anna, Guerdan, Luke, Cheng, Yang, Sun, Anita, Hu, Alison, Glazko, Kate, Arechiga, Nikos, Lee, Matthew, Carter, Scott, Zhu, Haiyi, Holstein, Kenneth

论文摘要

在这篇简短的论文中,我们主张将XAI重新集中在人类学习目标上。利用学习科学的方法和理论,我们为以学习者为中心的XAI系统的设计和评估提出了一个框架。我们通过正在进行的案例研究在AI-Aignation社会工作的背景下说明了我们的框架。

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.

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