International audienceThis position paper looks at differences between the current understandings of human-centered explainability and explainability AI. We discuss current ideas in both fields, as well as the differences and opportunities we discovered. As an example of combining both, we will present preliminary work on a new algebraic machine learning approach. We are excited to continue discussing design opportunities for human-centered explainability (HCx) and xAI with the broader HCxAI community
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transpar...
Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
International audienceThis position paper looks at differences between the current understandings of...
International audienceThis position paper looks at differences between the current understandings of...
The widespread use of Artificial Intelligence (AI) in various domains has led to a growing demand fo...
Presented onilne via Bluejeans Events on November 4, 2021 at 12:30 p.m.Q. Vera Liao is a Principal R...
Artificial Intelligence is increasingly driven by powerful but often opaque machine learning algorit...
Whether it is upstream, when providing data, when implementing an architecture, or when using algori...
67 pages, 13 figures, under review in the Information Fusion journalIn the last years, Artificial In...
Whether it is upstream, when providing data, when implementing an architecture, or when using algori...
An important subdomain in research on Human-Artificial Intelligence interaction is Explainable AI (X...
Whether it is upstream, when providing data, when implementing an architecture, or when using algori...
Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box...
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transpar...
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transpar...
Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...
International audienceThis position paper looks at differences between the current understandings of...
International audienceThis position paper looks at differences between the current understandings of...
The widespread use of Artificial Intelligence (AI) in various domains has led to a growing demand fo...
Presented onilne via Bluejeans Events on November 4, 2021 at 12:30 p.m.Q. Vera Liao is a Principal R...
Artificial Intelligence is increasingly driven by powerful but often opaque machine learning algorit...
Whether it is upstream, when providing data, when implementing an architecture, or when using algori...
67 pages, 13 figures, under review in the Information Fusion journalIn the last years, Artificial In...
Whether it is upstream, when providing data, when implementing an architecture, or when using algori...
An important subdomain in research on Human-Artificial Intelligence interaction is Explainable AI (X...
Whether it is upstream, when providing data, when implementing an architecture, or when using algori...
Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box...
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transpar...
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transpar...
Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box...
Artificial Intelligence systems are spreading to multiple applications and they are used by a more d...