33 citations · 51 across the 5 of their papers we have counts for
5 papers
Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh, Ben Hutchinson, Christina Greer +1
Testing practices within the machine learning (ML) community have centered around assessing a learned model's predictive performance measured against a test dataset, often drawn fr…
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives
Angie Peng, Jeff Naecker, Ben Hutchinson +2
How should we decide which fairness criteria or definitions to adopt in machine learning systems? To answer this question, we must study the fairness preferences of actual users of…
Non-portability of Algorithmic Fairness in India
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson +1
Conventional algorithmic fairness is Western in its sub-groups, values, and optimizations. In this paper, we ask how portable the assumptions of this largely Western take on algori…
Interpreting Social Respect: A Normative Lens for ML Models
Ben Hutchinson, KJ Pittl, Margaret Mitchell
Machine learning is often viewed as an inherently value-neutral process: statistical tendencies in the training inputs are "simply" used to generalize to new examples. However when…
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Remi Denton, Ben Hutchinson, Margaret Mitchell +2
Facial analysis models are increasingly used in applications that have serious impacts on people's lives, ranging from authentication to surveillance tracking. It is therefore crit…