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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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02/05/2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Today, AI is increasingly being used in many high-stakes decision-making...
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01/07/2020
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Today, AI is being increasingly used to help human experts make decision...
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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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01/23/2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment
Ensuring fairness of machine learning systems is a human-in-the-loop pro...
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12/14/2018
Bootstrapping Conversational Agents With Weak Supervision
Many conversational agents in the market today follow a standard bot dev...
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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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09/13/2017
Visualizations for an Explainable Planning Agent
In this paper, we report on the visualization capabilities of an Explain...
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09/13/2017
