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05/30/2023
Examining risks of racial biases in NLP tools for child protective services
Although much literature has established the presence of demographic bia...
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03/26/2023
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design
AI-based decision-making tools are rapidly spreading across a range of r...
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02/22/2023
Counterfactual Prediction Under Outcome Measurement Error
Across domains such as medicine, employment, and criminal justice, predi...
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02/13/2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
A growing literature on human-AI decision-making investigates strategies...
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12/19/2022
Counterfactual Risk Assessments under Unmeasured Confounding
Statistical risk assessments inform consequential decisions, such as pre...
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07/19/2022
The role of the geometric mean in case-control studies
Historically used in settings where the outcome is rare or data collecti...
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06/30/2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
This work seeks to center validity considerations in deliberations aroun...
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01/02/2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Algorithmic risk assessments are increasingly used to make and inform de...
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11/14/2020
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
Anonymized smartphone-based mobility data has been widely adopted in dev...
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07/15/2020
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
In time-to-event prediction problems, a standard approach to estimating ...
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06/30/2020
Counterfactual Predictions under Runtime Confounding
Algorithms are commonly used to predict outcomes under a particular deci...
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01/01/2020
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
This is the proceedings of the 3rd ML4D workshop which was help in Vanco...
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10/16/2019
Conditional Learning of Fair Representations
We propose a novel algorithm for learning fair representations that can ...
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08/30/2019
Counterfactual Risk Assessments, Evaluation, and Fairness
Algorithmic risk assessments are increasingly used to help humans make d...
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12/21/2018