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02/17/2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
Ensuring trustworthiness in machine learning (ML) models is a multi-dime...
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11/02/2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Interpretable and explainable machine learning has seen a recent surge o...
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08/23/2022
Anomaly Attribution with Likelihood Compensation
This paper addresses the task of explaining anomalous predictions of a b...
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05/08/2022
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
Clinical notes are becoming an increasingly important data source for ma...
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12/07/2021
Ground-Truth, Whose Truth? – Examining the Challenges with Annotating Toxic Text Datasets
The use of machine learning (ML)-based language models (LMs) to monitor ...
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09/29/2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
To ensure trust in AI models, it is becoming increasingly apparent that ...
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09/24/2021
AI Explainability 360: Impact and Design
As artificial intelligence and machine learning algorithms become increa...
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08/03/2021
Your fairness may vary: Group fairness of pretrained language models in toxic text classification
We study the performance-fairness trade-off in more than a dozen fine-tu...
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11/04/2019
Understanding racial bias in health using the Medical Expenditure Panel Survey data
Over the years, several studies have demonstrated that there exist signi...
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09/06/2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
As artificial intelligence and machine learning algorithms make further ...
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10/03/2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Fairness is an increasingly important concern as machine learning models...
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09/21/2018
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
Autonomous cyber-physical agents and systems play an increasingly large ...
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03/06/2013
