21 citations · 41 across the 16 of their papers we have counts for
18 papers
Equality of Effort via Algorithmic Recourse
Francesca E. D. Raimondi, Andrew R. Lawrence, Hana Chockler
This paper proposes a method for measuring fairness through equality of effort by applying algorithmic recourse through minimal interventions. Equality of effort is a property that…
Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure
Francesca E. D. Raimondi, Tadhg O'Keeffe, Hana Chockler +6
We describe the results of applying causal discovery methods on the data from a multi-site clinical trial, on the Treatment of Preserved Cardiac Function Heart Failure with an Aldo…
A Causal Analysis of Harm
Sander Beckers, Hana Chockler, Joseph Y. Halpern
As autonomous systems rapidly become ubiquitous, there is a growing need for a legal and regulatory framework to address when and how such a system harms someone. There have been s…
Quantifying Harm
Sander Beckers, Hana Chockler, Joseph Y. Halpern
In earlier work we defined a qualitative notion of harm: either harm is caused, or it is not. For practical applications, we often need to quantify harm; for example, we may want t…
Domain Knowledge in A*-Based Causal Discovery
Steven Kleinegesse, Andrew R. Lawrence, Hana Chockler
Causal discovery has become a vital tool for scientists and practitioners wanting to discover causal relationships from observational data. While most previous approaches to causal…
A Study of Demographic Bias in CNN-based Brain MR Segmentation
Stefanos Ioannou, Hana Chockler, Alexander Hammers +1
Convolutional neural networks (CNNs) are increasingly being used to automate the segmentation of brain structures in magnetic resonance (MR) images for research studies. In other a…