Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …

A substantial amount of research has been carried out in Explainable Artificial Intelligence
(XAI) models, especially in those which explain the deep architectures of neural networks. A …

Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

As artificial intelligence and machine learning algorithms make further inroads into society,
calls are increasing from multiple stakeholders for these algorithms to explain their outputs …

Although decision‐making algorithms are not new to medicine, the availability of vast stores
of medical data, gains in computing power, and breakthroughs in machine learning are …

As machine learning algorithms make inroads into our lives and society, calls are increasing
from multiple stakeholders for these algorithms to explain their outputs. Moreover, these …

Organizations depend on heavy use of various cyber defense technologies, including
intrusion detection and prevention systems, to monitor and protect networks and devices …

We introduce an approach called PLENARY (exPlaining bLack-box modEls in Natural
lAnguage thRough fuzzY linguistic summaries), which is an explainable classifier based on …

We introduce SIRUS (Stable and Interpretable RUle Set) for regression, a stable rule
learning algorithm, which takes the form of a short and simple list of rules. State-of-the-art …

Rapid advances in artificial intelligence (AI) and availability of biological, medical, and
healthcare data have enabled the development of a wide variety of models. Significant …