Throughout society, dialogues about Artificial Intelligence (AI) are dominated by a range of technophobic or techno-solutionist narratives. Both these narratives share a technological focus. To develop responsible AI, however, it is important to look at the systemic ecological and societal underpinnings …

Artificial Intelligence (AI) is increasingly used in the media industry, for instance, for the automatic creation, personalization, and distribution of media content. This development raises concerns in society and the media sector itself about the responsible use of AI. This study examines how different …

Artificial Intelligence (AI) is increasingly used in the media industry, for instance, for the automatic creation, personalization, and distribution of media content. This development raises concerns in society and the media sector itself about the responsible use of AI. This study examines how different …

AI ethics research has mainly focused on high-level principles and guidelines, and technical issues. This position paper argues that more attention should go to the practical and contextual aspects of designing AI applications and explores how living labs can contribute to the ethical design, development …

Recent years have seen a massive growth in ethical and legal frameworks to govern data science practices. Yet one of the core questions associated with ethical and legal frameworks is the extent to which they are implemented in practice. A particularly interesting case in this context comes to public …

Addressing and integrating human values into AI design and development processes in research and practice can be di cult, and a clear methodological approach can clarify issues of both theory and prac- tice. One such approach is Value Sensitive Design (VSD), an established theory for addressing issues …

From the article: The ethics guidelines put forward by the AI High Level Expert Group (AI-HLEG) present a list of seven key requirements that Human-centered, trustworthy AI systems should meet. These guidelines are useful for the evaluation of AI systems, but can be complemented by applied methods and …