izpis_h1_title_alt

New ethnographic perspective on relational ethics in the field of artificial intelligence
ID Pavlović, Pavle (Author), ID Hafner-Fink, Mitja (Author)

.pdfPDF - Presentation file, Download (972,97 KB)
MD5: 7B9D82745950C7F83EF3834C7D3B2D27
URLURL - Source URL, Visit https://link.springer.com/article/10.1007/s11135-023-01751-3 This link opens in a new window

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.

Language:English
Keywords:value judgment dispute, niche construction, ecology of practice, connoisseurs, ethnography, artificial intelligence
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FDV - Faculty of Social Sciences
Publication status:Published
Publication version:Version of Record
Year:2024
Number of pages:Str. 2413–2431
Numbering:Vol. 58, iss. 3
PID:20.500.12556/RUL-151270 This link opens in a new window
UDC:39:004.89
ISSN on article:0033-5177
DOI:10.1007/s11135-023-01751-3 This link opens in a new window
COBISS.SI-ID:166658051 This link opens in a new window
Publication date in RUL:03.10.2023
Views:172
Downloads:27
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Quality & quantity
Shortened title:Qual. quant.
Publisher:Springer Nature
ISSN:0033-5177
COBISS.SI-ID:26222848 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:etnologija, etika, umetna inteligenca

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P5-0151
Name:Slovensko javno mnenje

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back