"Where is AI being written?" – A geographic and epistemic meta-analysis of scientific literature

Vlad Morar, Filip Ilievski

Track: Type D (Master/Bachelor Thesis Abstracts)

Keywords: Artificial Intelligence, meta-analysis, scientific literature

Abstract: Humanity's long history of writing has led to the creation of many things that surround it, amongst which Artificial Intelligence has started to emerge in more recent times. This paper endeavors to illuminate the inquiry of "where is AI being written?", through a meta-analysis with respect to the dual nuances of this question: the geographical nuance, concerning the global contributions to AI literature, and the epistemic nuance, regarding the diverse scientific disciplines where AI concepts might manifest. As such, we gathered 10,000 AI‑labeled publications for mapping the geographical nuance, alongside 13,390 “non‑AI” works linked to the AI dataset's keywords, to address the epistemic nuance. The geographical results indicate a U.S.dominance both in volume and in independent output, with China in second place, while collectively, European nations surpass China but remain behind the U.S.. Epistemically, beyond Computer Science, AI concepts concentrate in Engineering, Medicine, and statistically oriented fields. Co‑occurrence analysis reveals AI as a methodological toolkit that permeates domains from clinical informatics to paleopathology.

Serve As Reviewer: ~Filip_Ilievski1

Submission Number: 36