O’Regan, John P;
Ferri, Giuliana;
(2024)
Artificial intelligence and depth ontology: implications for intercultural ethics.
Applied Linguistics Review
10.1515/applirev-2024-0189.
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Abstract
Despite increasing concerns over the use of AI in surveillance, privacy, public health, climate change, global migration and warfare, the implications of its use in the field of intercultural communication are still not clearly defined. This paper critically examines the contemporary emergence of AI through the lens of a critical realist depth ontology to argue that AI, with its unending interplay of signs and symbols, is the ultimate simulacrum. As such, AI vacates the normative terrain of judgemental rationality in favour of the relativist terrain of endless simulacra and the fetish appearances of postmodernism. To illustrate this, it is argued that the inability of AI to make judgements based on judgemental rationality (or Ethics1) occludes the possibility of intervening in the world to ameliorate real injustice. Therefore, if intercultural ethics remains within the realm of judgmental relativism (or Ethics2) it abdicates the possibility to have an impact in the material world.
Type: | Article |
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Title: | Artificial intelligence and depth ontology: implications for intercultural ethics |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1515/applirev-2024-0189 |
Publisher version: | https://doi.org/10.1515/applirev-2024-0189 |
Language: | English |
Additional information: | © 2024 the author(s), published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License. |
Keywords: | Depth ontology; critical realism; ethics; artificial intelligence; intercultural |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10195422 |
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