no code implementations • 10 May 2022 • Harmanpreet Kaur, Eytan Adar, Eric Gilbert, Cliff Lampe
We use an application of sensemaking in organizations as a template for discussing design guidelines for Sensible AI, AI that factors in the nuances of human cognition when trying to explain itself.
no code implementations • 16 Aug 2022 • Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg
We implement our technique in a novel system, FeedLens, which is built over Semantic Scholar, a production system for navigating the scientific literature KG.
1 code implementation • 27 Apr 2021 • David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan
We take inspiration from the study of human explanation to inform the design and evaluation of interpretability methods in machine learning.
BIG-bench Machine Learning Interpretable Machine Learning +1