EconPapers    
Economics at your fingertips  
 

New ethnographic perspective on relational ethics in the field of Artificial intelligence

Pavle Pavlović () and Mitja Hafner Fink ()
Additional contact information
Pavle Pavlović: University of Ljubljana
Mitja Hafner Fink: University of Ljubljana

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 3, No 19, 2413-2431

Abstract: Abstract This article was created on the wave of the ubiquitous and already-saturated topic of ethics in the field of artificial intelligence. We were motivated by the proliferation of rules within this field and by a posthumanism critique of this topic. We attempt to nurture a new research platform for a social science analysis of the “How of ethics” issue by providing an argument for the study of algorithms and ethical issues by expanding the usability of the concept of niche construction and environmental perspectives in ethnographic studies. From a design perspective, this means expanding the quest related to the ethical matter by intensifying the inquiry in a design that includes not just the design process but also a more comprehensive environment. Inspired by current trends in evolutionary anthropology, science studies, and the philosophy of science, we are in line with approaches that reaffirm ethical issues from standpoint theory in the current scientific debate about trust in science. The results of our historical perspective on the issue of value neutrality point out that the position where the tool is not neutral does not mean that it is biased but that it is deeply involved in the network of relationships that influence it to be biased, and that threatens its autonomy. By providing argumentation based on the issue of ethics, we have nurtured the so-called ecology of practice and connoisseurs as a new practice and perspective that ethnography can take on the issue of accountable, ethical, and trustable science.

Keywords: Value judgment dispute; Niche construction; Ecology of practice; Connoisseurs; Ethnography; Artificial intelligence (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-023-01751-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:qualqt:v:58:y:2024:i:3:d:10.1007_s11135-023-01751-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-023-01751-3

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:qualqt:v:58:y:2024:i:3:d:10.1007_s11135-023-01751-3