83 citations · 107 across the 5 of their papers we have counts for
5 papers
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index
Aria Khademi, Michael Hopka, Devesh Upadhyay
Safety goes first. Meeting and maintaining industry safety standards for robustness of artificial intelligence (AI) and machine learning (ML) models require continuous monitoring f…
Commuting Network Spillovers and COVID-19 Deaths Across US Counties
Christopher Seto, Aria Khademi, Corina Graif +1
This study explored how population mobility flows form commuting networks across US counties and influence the spread of COVID-19. We utilized 3-level mixed effects negative binomi…
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution
Aria Khademi, Vasant Honavar
With the increasing adoption of predictive models trained using machine learning across a wide range of high-stakes applications, e.g., health care, security, criminal justice, fin…
Algorithmic Bias in Recidivism Prediction: A Causal Perspective
Aria Khademi, Vasant Honavar
ProPublica's analysis of recidivism predictions produced by Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) software tool for the task, has shown that…
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
Aria Khademi, Sanghack Lee, David Foley +1
As virtually all aspects of our lives are increasingly impacted by algorithmic decision making systems, it is incumbent upon us as a society to ensure such systems do not become in…