"In this chapter, we describe digital ethics as the branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), hardware and infrastructures, and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). We show that digital ethics is best developed as a translational macroethics, that is, as an overall framework that avoids narrow approaches and addresses the ethical impact of digital technologies within a consistent, holistic, and inclusive framework. Its goal is to provide solutions that can maximise the value of digital technologies for all of us, our societies, and the environment"-- Provided by publisher.