183 citations · 193 across the 6 of their papers we have counts for
6 papers
Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture
Emma Harvey, Emanuel Moss, Hauke Sandhaus +2
Humans are increasingly expected to interact with AI systems that observe and make inferences about them - but do these systems actually work? A standard approach to answering this…
Hidden Errors in Big Data: The Case of Property Records
Evelyn Smith, Emma Harvey, Jacob Goldin +1
Big data are the foundation for an increasing share of academic research and AI models deployed in both the public and private sectors, prompting substantial growth over time in re…
Tradeoffs are Domain Dependent: Improving Accuracy and Fairness in Property Tax Assessments
Evelyn Smith, Emma Harvey, Christopher Berry +2
Algorithmic fairness research often assumes a tradeoff between fairness and accuracy. Yet this tradeoff may not be universal. We test this assumption in the context of U.S. propert…
Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability
Jinsook Lee, Emma Harvey, Joyce Zhou +3
Each year, selective American colleges sort through tens of thousands of applications to identify a first-year class that displays both academic merit and diversity. In the 2023-20…
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs +2
Motion capture systems, used across various domains, make body representations concrete through technical processes. We argue that the measurement of bodies and the validation of m…
Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem
Sasha Costanza-Chock, Emma Harvey, Inioluwa Deborah Raji +2
AI audits are an increasingly popular mechanism for algorithmic accountability; however, they remain poorly defined. Without a clear understanding of audit practices, let alone wid…