On 29 March 2023 the United Kingdom (UK) government published its AI Regulation White Paper, a "proportionate and pro-innovation regulatory framework" for AI designed to support innovation, identify and address risks, and establish the UK as an "AI superpower". In this article, we assess whether...

In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social...

On 29 March 2023 the United Kingdom (UK) government published its AI Regulation White Paper, a "proportionate and pro-innovation regulatory framework" for AI designed to support innovation, identify and address risks, and establish the UK as an "AI superpower". In this article, we assess whether...

This article analyses the ethical aspects of multi-stakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multi-stakeholder recommendation. We then consider three research questions:...

The web is increasingly inhabited by the remains of its departed users, a phenomenon that has given rise to a burgeoning digital afterlife industry. This industry requires a framework for dealing with its ethical implications. We argue that the regulatory conventions guiding archaeological...

The paper argues that Information Ethics (IE) can provide a successful approach for coping with the challenges posed by our increasingly globalized reality. After a brief review of some of the most fundamental transformations brought about by the phenomenon of globalization, the article...

There is growing concern that decision-making informed by machine learning (ML) algorithms may unfairly discriminate based on personal demographic attributes, such as race and gender. Scholars have responded by introducing numerous mathematical definitions of fairness to test the algorithm, many...