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AI Ethics and Neuroethics Promote Relational AI Discourse

In: Work and AI 2030

Author

Listed:
  • Ludwig Weh

    (Humboldt-Universität zu Berlin
    Fraunhofer IMW Center for International Management and Knowledge Economics)

  • Magdalena Soetebeer

    (Schaltzeit GmbH)

Abstract

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.

Suggested Citation

  • Ludwig Weh & Magdalena Soetebeer, 2023. "AI Ethics and Neuroethics Promote Relational AI Discourse," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 47-55, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_6
    DOI: 10.1007/978-3-658-40232-7_6
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