no code implementations • 8 Nov 2022 • Cheryl Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou
New technologies and the availability of geospatial data have drawn attention to spatio-temporal biases present in society.
no code implementations • 5 Jan 2021 • Cheryl Flynn, Subhabrata Majumdar, Ritwik Mitra
In spite of considerable practical importance, current algorithmic fairness literature lacks technical methods to account for underlying geographic dependency while evaluating or mitigating bias issues for spatial data.
Bias Detection Fairness Applications Computers and Society
no code implementations • 10 Jun 2020 • Emily Dodwell, Cheryl Flynn, Balachander Krishnamurthy, Subhabrata Majumdar, Ritwik Mitra
Numerous Machine Learning (ML) bias-related failures in recent years have led to scrutiny of how companies incorporate aspects of transparency and accountability in their ML lifecycles.