OECD Artificial Intelligence Papers
The OECD engages in comprehensive research and analysis to deepen insights into the transformative power of artificial intelligence (AI) and its implications for economies and societies. The OECD Artificial Intelligence Papers series draws on comprehensive evidence-base to identify trends and developments and delve into an extensive array of AI-related subjects. This includes opportunities and challenges in AI governance, the impact of AI across policy domains including labour markets, education and healthcare, ethical considerations in AI design and deployment, and new frontiers such as generative AI. This collection encompasses OECD policy papers as well as working papers.
- ISSN: 3005348X (online)
- https://doi.org/10.1787/dee339a8-en
What technologies are at the core of AI?
An exploration based on patent data
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.
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