"If it didn't happen, why would I change my decision?": How Judges
Respond to Counterfactual Explanations for the Public Safety Assessment

"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment

11 May 2022

Christopher L. Griffin

Finale Doshi Velez

Papers citing ""If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment"

7 / 7 papers shown

Title
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 21 0 0 09 May 2025
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective T. Tominaga Naomi Yamashita Takeshi Kurashima 16 1 0 23 May 2024
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators Tin Nguyen Jiannan Xu Aayushi Roy Hal Daumé Marine Carpuat 25 5 0 23 Oct 2023
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Yiming Li Daling Wang Wenfang Wu Shi Feng Yifei Zhang CML 32 1 0 28 Sep 2023
Optimal and Fair Encouragement Policy Evaluation and Learning Angela Zhou OffRL 24 3 0 12 Sep 2023
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 19 2 0 14 Dec 2022
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 106 0 20 Oct 2020