5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.HC2022★ 1 cited
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences
Anna Kawakami, Luke Guerdan, Yang Cheng +8
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 l…
cs.HC2022★ 2 cited
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"
Logan Stapleton, Hao-Fei Cheng, Anna Kawakami +7
This is an extended analysis of our paper "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions," which looks at racial disparities in the Allegheny Family…
cs.HC2019★ 5 cited
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives
Bowen Yu, Ye Yuan, Loren Terveen +3
Artificial intelligence algorithms have been used to enhance a wide variety of products and services, including assisting human decision making in high-stakes contexts. However, th…