The scientific journal Morals & Machines addresses the question of how algorithms in general and artificial intelligence (AI) especially change society, the economy and the working world, the media, the healthcare system, technology, language, gender relations, and art and culture in a pluralistic manner. It investigates the questions of which ethical risks arise from general and artificial intelligence, what potential they offer and what challenges they pose to legal systems worldwide in relation to technological applications, robotics and the integration of AI. The journal examines these questions from an interdisciplinary, global and critical perspective at the interface between the humanities, social science, law and computer science.
Human-robot interaction (HRI) through the practice of different types of art is bringing to the table new perspectives on innovative interactions where the cooperation between artists and robots not only deliver original works of art but also novel...
The paper proposes that artistic practices engaging with datasets on which machine learning (ML) systems are trained can provide caring or curative resistance to digital toxicity and furnish models for imagining more equitable digital futures. The...
Human-robot interaction (HRI) through the practice of different types of art is bringing to the table new perspectives on innovative interactions where the cooperation between artists and robots not only deliver original works of art but also novel...
The State of Glitch project is a provocation and invitation to discuss the governance of AI and Data. To ensure digital disruptions are positive there is an urgent need to better understand the impact of AI, on individuals, communities and the...
In this paper we examine the representations of quantum theory and technology in visual media. Namely, we conduct a thorough content analysis of film scripts in science fiction and fantasy to discover ways quantum physics and computing are...
Automated decisions, especially those that operate using AI, face accusations of being opaque black boxes. This accusation is to be taken seriously, but it is put into perspective to a certain extent if one contrasts it with the criticism of...
We argue that (1) enterprise collaborative platforms are conducive to the creation of hyper-connective work environments that foster connectivity with respect to (a) access to an exhaustive amount of content, conversation and metadata (everything),...