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 …

Artificial intelligence (AI) studies are progressing at a breakneck pace, with prospective
programs in healthcare industries being established. In healthcare, there has been an …

Artificial intelligence's (AI) accelerating progress demands rigorous evaluation standards to
ensure safe, effective integration into healthcare's high‐stakes decisions. As AI increasingly …

This study aimed to investigate various models for predicting the cutting force in rock-cutting
processes by conical tools or pick cutters. For this purpose, a database of rock cutting forces …

This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …

Being an indispensable part of future autonomous transportation systems, autonomous
vehicles (AVs) are expected to drive safely with minimal human inputs. In addition to safety …

Since the early days of artificial intelligence (AI), many logics have been explored as tools
for knowledge representation and reasoning. In the spirit of the Crossley Festscrift and …

It is easier than ever to run modern machine learning (ML) models. However, developing
and implementing systems that support real-world risk management applications in a bank …

Automated driving systems (ADS) are expected to be reliable and robust against a wide
range of driving scenarios. Their decisions, first and foremost, must be well understood …

The effectiveness of modern AI applications, despite their tremendous capabilities, is limited
in a number of crucial areas, such as security, transport, and medicine, etc., due to the …