research
∙
03/07/2023
Causal Dependence Plots for Interpretable Machine Learning
Explaining artificial intelligence or machine learning models is an incr...
share
research
∙
12/07/2022
Counterfactuals for the Future
Counterfactuals are often described as 'retrospective,' focusing on hypo...
research
∙
07/01/2021
Impact Remediation: Optimal Interventions to Reduce Inequality
A significant body of research in the data sciences considers unfair dis...
research
∙
06/15/2020
Causal intersectionality for fair ranking
In this paper we propose a causal modeling approach to intersectional fa...
research
∙
06/06/2018
Causal Interventions for Fairness
Most approaches in algorithmic fairness constrain machine learning metho...
research
∙
05/15/2018
Causal Reasoning for Algorithmic Fairness
In this work, we argue for the importance of causal reasoning in creatin...
research
∙
03/20/2017