Advances in artificial intelligence are increasingly leading to the automation and
augmentation of decision processes in work contexts. Although research originally generally …

In this article, we develop the concept of Transparency by Design that serves as practical
guidance in hel** promote the beneficial functions of transparency while mitigating its …

Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

With automation of routine decisions coupled with more intricate and complex information
architecture operating this automation, concerns are increasing about the trustworthiness of …

The use of black box algorithms in medicine has raised scholarly concerns due to their
opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and …

Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

Research on the ethics of algorithms has grown substantially over the past decade.
Alongside the exponential development and application of machine learning algorithms …

Artificial intelligence (AI) and robotics are digital technologies that will have significant
impact on the development of humanity in the near future. They have raised fundamental …

Maintenance decisions in domains such as aeronautics are becoming increasingly
dependent on being able to predict the failure of components and systems. When data …

Many of the computing systems programmed using Machine Learning are opaque: it is
difficult to know why they do what they do or how they work. Explainable Artificial …