Gergely Ferenc Lendvai was a fellow at CAIS from July to September 2025, during which time he focused on the scientometrics of the social sciences, the conceptualization of deepfakes, and a comparison of their regulation across different legal frameworks. He has since published an article in the journal “SN Social Sciences” in collaboration with Peter Mezei and Anne Pogacsas. The chapter is titled “The State of AI and Intellectual Property – A Thematic Scientometric Assessment.”
Abstract
This study presents a comprehensive scientometric analysis of the scholarly discourse on artificial intelligence and intellectual property law between 2013 and 2023. Drawing on metadata from Scopus, the research employs advanced bibliometric tools to map trends, publication patterns, and thematic clusters in the field. Our results reveal a dramatic surge in academic output post-2019, showing an accelerated scholarly interest, especially in light of generative AI’s emergence. The CiteSpace-based analysis identifies three dominant research clusters: (1) AI and Copyright Law, focusing on authorship, originality, and text/data mining; (2) AI and Digital Rights, exploring identity, privacy, and ethical dilemmas; and (3) AI and Patent Law addressing inventorship, patentability, and system reform. Furthermore, we also expose geographical disparities, with the United States and United Kingdom dominating the field of AI and IP law, alongside severe under-representation of Global South–affiliated authors within Scopus-indexed, English-language journal publications. A key finding is that despite growing regulatory responses, such as the EU AI Act and US Copyright Office guidelines, legal consensus remains elusive. In sum, the article at hand aims to offer a state-of-the-field mapping of Scopus-indexed scholarship at the AI–IP interface via consolidating the field’s “visible contours,” while identifying underexplored thematic and geographic areas for future interdisciplinary inquiry.
Lendvai, G.F., Mezei, P. & Pogacsas, A. The state of AI and intellectual property – a thematic scientometric assessment. SN Soc Sci 6, 240 (2026). https://doi.org/10.1007/s43545-026-01479-5