Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

Incorporating machine learning (ML) components into software products raises new
software-engineering challenges and exacerbates existing ones. Many researchers have …

Over the last decade, the importance of machine learning increased dramatically in
business and marketing. However, when machine learning is used for decision-making, bias …

The introduction of machine learning (ML) components in software projects has created the
need for software engineers to collaborate with data scientists and other specialists. While …

This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …

Extreme weather conditions, as one of many effects of climate change, is expected to
increase the magnitude and frequency of environmental disasters. In parallel, urban centres …

Tech-leading organizations are embracing the forthcoming artificial intelligence revolution.
Intelligent systems are replacing and cooperating with traditional software components …

Finance and insurance are being transformed by Artificial Intelligence (AI). Nevertheless, the
consumer is not passive in this process and there is some inhibition to trust. This research …

Process Mining is a novel technology that helps enterprises to better understand their
business processes. Over the last 20 years, intensive research has been conducted into …

Nowadays, systems containing components based on machine learning (ML) methods are
becoming more widespread. In order to ensure the intended behavior of a software system …