Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be...

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...

Information plays a major role in any moral action. ICT (Information and Communication Technologies) have revolutionized the life of information, from its production and management to its consumption, thus deeply affecting our moral lives. Amid the many issues they have raised, a very serious...

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...

To address the rising concern that algorithmic decision-making may reinforce discriminatory biases, researchers have proposed many notions of fairness and corresponding mathematical formalizations. Each of these notions is often presented as a one-size-fits-all, absolute condition; however, in...