Computerized clinical decision support systems, or CDSS, represent a paradigm shift in
healthcare today. CDSS are used to augment clinicians in their complex decision-making …

Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the
problem of explainability is as old as AI itself and classic AI represented comprehensible …

摘要2017 年8 月8 日九寨沟MS7. 0 地震诱发了数以千计的崩滑体, 产生的大量松散固体碎屑在
降雨作用下极易启动转化为新的滑坡或泥石流形成次生灾害, 因此对九寨沟景区进行滑坡易发性 …

Deep learning algorithms for anomaly detection, such as autoencoders, point out the
outliers, saving experts the time-consuming task of examining normal cases in order to find …

This article summarizes the author's Robert S. Englemore Memorial Lecture presented at the
Thirty-Fourth AAAI Conference on Artificial Intelligence on February 10, 2020. It explores …

DARPA formulated the Explainable Artificial Intelligence (XAI) program in 2015 with the goal
to enable end users to better understand, trust, and effectively manage artificially intelligent …

Abstract The idea of Artificial Intelligence for Social Good (henceforth AI4SG) is gaining
traction within information societies in general and the AI community in particular. It has the …

Artificial intelligence (AI) generally and machine learning (ML) specifically demonstrate
impressive practical success in many different application domains, eg in autonomous …

Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

We present a survey of the research concerning explanation and justification in the Machine
Learning literature and several adjacent fields. Within Machine Learning, we differentiate …