Learning to Advise Humans in High-Stakes Settings

23 October 2022

Papers citing "Learning to Advise Humans in High-Stakes Settings"

4 / 4 papers shown

Title
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu J. W. Vaughan R. Caruana KELM 56 27 0 30 Jun 2022
Human-AI Collaboration with Bandit Feedback Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Min Kyung Lee Matthew Lease 51 49 0 22 May 2021
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 46 195 0 06 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017