What technologies are at the core of AI?: An exploration based on patent data

Flavio Calvino, Chiara Criscuolo, Hélène Dernis and Lea Samek

No 6, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: This report outlines a new methodology and provides a first exploratory analysis of technologies and applications that are at the core of recent advances in AI. Using AI-related keywords and technology classes, the study identifies AI-related patents protected in the United States in 2000-18. Among those, “core” AI patents are selected based on their counts of AI-related forward citations. The analysis finds that, compared to other (AI and non-AI) patents, they are more original and general, and tend to be broader in technological scope. Technologies related to general AI, robotics, computer/image vision and recognition/detection are consistently listed among core AI patents, with autonomous driving and deep learning having recently become more prominent. Finally, core AI patents tend to spur innovation across AI-related domains, although some technologies – likely AI applications, such as autonomous driving or robotics – appear to increasingly contribute to developments in their own field.

Keywords: Artificial Intelligence; Innovation; Patents (search for similar items in EconPapers)
JEL-codes: C81 O31 O33 O34 (search for similar items in EconPapers)
Date: 2023-11-13
New Economics Papers: this item is included in nep-ain, nep-cmp, nep-ino and nep-sbm
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:6-en

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