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04/02/2023
Towards Healthy AI: Large Language Models Need Therapists Too
Recent advances in large language models (LLMs) have led to the developm...
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10/20/2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
As a technical sub-field of artificial intelligence (AI), explainable AI...
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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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06/02/2021
Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI
In this paper, we describe an open source Python toolkit named Uncertain...
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10/29/2019
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets
Recent advances in computer vision and deep learning have led to breakth...
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10/17/2019
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy
Our goal is to understand the so-called trade-off between fairness and a...
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11/30/2018
Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
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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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08/22/2018
