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How discursive ideas could shape the future of artificial intelligence in international relations: An English School analysis

Authors: Kristensen, Elias Eland;

How discursive ideas could shape the future of artificial intelligence in international relations: An English School analysis

Abstract

What are the discursive ideas around emerging artificial intelligence in international relations, and what could these mean for the future? Through a combination of quantitative topic modeling and manual qualitative discourse analysis, the project analyzes 55 articles from the epistemically influential Foreign Affairs Magazine. The project identifies five distinct discursive ideas around emerging AI and IR. By applying the English School theory, the project assesses the normativity of the discursive ideas, which, following the project’s constructivist philosophy of science, could shape the future of international society. The project argues that most of the discursive ideas point towards a bifurcation or dissolution of the current nascent global governance efforts around AI. Furthermore, the project finds that the ideals of order and zero-sum power dominate the ideals around global justice.

Country
Denmark
Related Organizations
Keywords

Artificial intelligence, Ideas, AI, Discursive ideas, IR, International relations, Discourse, English School

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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