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06/01/2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
The recent development of generative and large language models (LLMs) po...
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02/10/2022
Investigating Explainability of Generative AI for Code through Scenario-based Design
What does it mean for a generative AI model to be explainable? The emerg...
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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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11/15/2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Transparency of algorithmic systems entails exposing system properties t...
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05/25/2019
