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09/08/2023
On the Actionability of Outcome Prediction
Predicting future outcomes is a prevalent application of machine learnin...
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06/23/2023
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints
Prediction models have been widely adopted as the basis for decision-mak...
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05/02/2023
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging
In this paper, we examine computational approaches for measuring the "fa...
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01/28/2023
Informational Diversity and Affinity Bias in Team Growth Dynamics
Prior work has provided strong evidence that, within organizational sett...
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01/27/2023
Variance, Self-Consistency, and Arbitrariness in Fair Classification
In fair classification, it is common to train a model, and to compare an...
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07/19/2022
Mimetic Models: Ethical Implications of AI that Acts Like You
An emerging theme in artificial intelligence research is the creation of...
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06/14/2022
Measuring Representational Harms in Image Captioning
Previous work has largely considered the fairness of image captioning sy...
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05/05/2022
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
Transparency around limitations can improve the scientific rigor of rese...
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03/08/2022
An Uncommon Task: Participatory Design in Legal AI
Despite growing calls for participation in AI design, there are to date ...
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09/14/2021
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies
Algorithmic audits have been embraced as tools to investigate the functi...
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05/26/2021
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Scholars have recently drawn attention to a range of controversial issue...
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03/10/2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
Several pieces of work have uncovered performance disparities by conduct...
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03/10/2021
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes
Many policies allocate harms or benefits that are uncertain in nature: t...
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02/27/2021
Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness
Consider a cost-sharing game with players of different contribution to t...
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05/28/2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
We survey 146 papers analyzing "bias" in NLP systems, finding that their...
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12/10/2019
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
Counterfactual explanations are gaining prominence within technical, leg...
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12/10/2019
Roles for Computing in Social Change
A recent normative turn in computer science has brought concerns about f...
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06/21/2019
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
There has been rapidly growing interest in the use of algorithms for emp...
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01/08/2019
Problem Formulation and Fairness
Formulating data science problems is an uncertain and difficult process....
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11/19/2018
Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions
A recent flurry of research activity has attempted to quantitatively def...
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09/05/2018