AI Ethics and Neuroethics Promote Relational AI Discourse

Ludwig Weh () and Magdalena Soetebeer ()
Additional contact information
Ludwig Weh: Humboldt-Universität zu Berlin
Magdalena Soetebeer: Schaltzeit GmbH

A chapter in Work and AI 2030, 2023, pp 47-55 from Springer

Abstract: 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.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-40232-7_6

Ordering information: This item can be ordered from
http://www.springer.com/9783658402327

DOI: 10.1007/978-3-658-40232-7_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().