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Carlos Muñoz Ferrandis, Marta Duque Lizarralde, Open sourcing AI: intellectual property at the service of platform leadership, 13 (2022) JIPITEC 224 para 1.
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%0 Journal Article %T Open sourcing AI: intellectual property at the service of platform leadership %A Muñoz Ferrandis, Carlos %A Duque Lizarralde, Marta %J JIPITEC %D 2022 %V 13 %N 3 %@ 2190-3387 %F muñoz ferrandis2022 %X Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around “openness” as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective. %L 340 %K AI %K copyright %K licenses %K open-source %K patents %K platforms %U http://nbn-resolving.de/urn:nbn:de:0009-29-55579 %P 224-246Download
Bibtex
@Article{muñozferrandis2022,
author = "Mu{\~{n}}oz Ferrandis, Carlos
and Duque Lizarralde, Marta",
title = "Open sourcing AI: intellectual property at the service of platform leadership",
journal = "JIPITEC",
year = "2022",
volume = "13",
number = "3",
pages = "224--246",
keywords = "AI; copyright; licenses; open-source; patents; platforms",
abstract = "Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around ``openness'' as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective.",
issn = "2190-3387",
url = "http://nbn-resolving.de/urn:nbn:de:0009-29-55579"
}
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TY - JOUR AU - Muñoz Ferrandis, Carlos AU - Duque Lizarralde, Marta PY - 2022 DA - 2022// TI - Open sourcing AI: intellectual property at the service of platform leadership JO - JIPITEC SP - 224 EP - 246 VL - 13 IS - 3 KW - AI KW - copyright KW - licenses KW - open-source KW - patents KW - platforms AB - Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around “openness” as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective. SN - 2190-3387 UR - http://nbn-resolving.de/urn:nbn:de:0009-29-55579 ID - muñoz ferrandis2022 ER -Download
Wordbib
<?xml version="1.0" encoding="UTF-8"?> <b:Sources SelectedStyle="" xmlns:b="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" xmlns="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" > <b:Source> <b:Tag>muñoz ferrandis2022</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2022</b:Year> <b:PeriodicalTitle>JIPITEC</b:PeriodicalTitle> <b:Volume>13</b:Volume> <b:Issue>3</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-29-55579</b:Url> <b:Pages>224-246</b:Pages> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Muñoz Ferrandis</b:Last><b:First>Carlos</b:First></b:Person> <b:Person><b:Last>Duque Lizarralde</b:Last><b:First>Marta</b:First></b:Person> </b:NameList></b:Author> </b:Author> <b:Title>Open sourcing AI: intellectual property at the service of platform leadership</b:Title> <b:Comments>Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around “openness” as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective.</b:Comments> </b:Source> </b:Sources>Download
ISI
PT Journal AU Muñoz Ferrandis, C Duque Lizarralde, M TI Open sourcing AI: intellectual property at the service of platform leadership SO JIPITEC PY 2022 BP 224 EP 246 VL 13 IS 3 DE AI; copyright; licenses; open-source; patents; platforms AB Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around “openness” as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective. ERDownload
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<abstract>Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around “openness” as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective.</abstract>
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Full Metadata
| Bibliographic Citation | 13 (2022) 3 |
|---|---|
| Title |
Open sourcing AI: intellectual property at the service of platform leadership (eng) |
| Author | Carlos Muñoz Ferrandis, Marta Duque Lizarralde |
| Language | eng |
| Abstract | Artificial Intelligence (AI) is one of the most strategic technologies of our century. Consequently, tech companies are adopting intellectual property strategies to protect their investment in the field, which encompasses copyright, patents, and trade secrets. While the number of AI-related patent applications is increasing, the number of open-source AI projects sponsored by major AI patent holders is also on the rise. This article explores the commercial and policy strategic reasons behind the growing adoption of open-source licensing in the AI space. More precisely, it assesses how IP rights are articulated around “openness” as a competitive factor in ecosystem competition, and how some players are using open-source licensing successfully to attract a critical mass of users and build an ecosystem around their AI platforms. Moreover, this article integrates the debate on the protectability of AI features by IP rights to assess the potential implications for open-source. Finally, it analyses the most used open-source licenses in AI projects and highlights existing and future challenges from an IP and contractual law perspective. |
| Subject | AI, copyright, licenses, open-source, patents, platforms |
| DDC | 340 |
| Rights | DPPL |
| URN: | urn:nbn:de:0009-29-55579 |
