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09/18/2023
Causal Theories and Structural Data Representations for Improving Out-of-Distribution Classification
We consider how human-centered causal theories and tools from the dynami...
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05/22/2023
Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms
Much attention and concern has been raised recently about bias and the u...
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06/17/2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
Machine learning (ML) fairness research tends to focus primarily on math...
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05/15/2020