AI Ethics and Neuroethics Promote Relational AI Discourse

Based on mathematical models of biological learning processes, computer-based computational algorithms form the basis for ‘Machine Learning’ or ‘Artificial Intelligence’ (AI). Their technological translation offers a variety of applications and promises immense transformative potential for various sectors such as economy, technology and society. Approaches of AI ethics discuss the influence and desirability of such changes, for example, for work processes in affected industries; however, a discourse on the social side effects of technology that is driven purely from a technological perspective neglects the life and human science aspects of its origin as well as its complex impact on psychological, social and cultural systems. An embodiment approach of neuroethics can strengthen these reflexive elements in the AI debate and improve social discourse and agency regarding technology-induced transformations in the world of work.