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220928 ||| eng |
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|a Nakazato, Shohei
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| 245 |
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|a Artificial intelligence companies, goods and services
|h Elektronische Ressource
|b A trademark-based analysis
|c Shohei, Nakazato and Mariagrazia, Squicciarini
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| 260 |
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|a Paris
|b OECD Publishing
|c 2021
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| 300 |
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|a 30 p
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| 653 |
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|a Science and Technology
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| 700 |
1 |
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|a Squicciarini, Mariagrazia
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OECD
|a OECD Books and Papers
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| 490 |
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|a OECD Science, Technology and Industry Working Papers
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| 028 |
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|a /10.1787/2db2d7f4-en
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| 856 |
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|a oecd-ilibrary.org
|u https://doi.org/10.1787/2db2d7f4-en
|x Verlag
|3 Volltext
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|a 600
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|a This work proposes an experimental methodology to identify and measure artificial intelligence (AI)-related trademarks. It aims to shed light on the extent to which (new) companies and products appearing on the market rely on, exploit or propose AI-related goods and services, and to help identify the companies and organisations that are active in the AI space. The paper finds evidence that AI-related goods and services have expanded in consumer markets in recent years. Companies and other economic agents appear to register AI-related trademarks primarily to protect computer-related products and/or services, especially software, audio-visual devices and for analytical purposes. Important trademark activities related to AI also emerge in the education space, with AI-related keywords being frequently associated with educational services as well as classes, publications, workshops and online material
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