Document Actions

Citation and metadata

Recommended citation

Carlos Muñoz Ferrandis, Marta Duque Lizarralde, Open sourcing AI: intellectual property at the service of platform leadership, 13 (2022) JIPITEC 224 para 1.

Download Citation

Endnote

%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 224-246

Download

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"
}

Download

RIS

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.
ER

Download

Mods

<mods>
  <titleInfo>
    <title>Open sourcing AI: intellectual property at the service of platform leadership</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Muñoz Ferrandis</namePart>
    <namePart type="given">Carlos</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Duque Lizarralde</namePart>
    <namePart type="given">Marta</namePart>
  </name>
  <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>
  <subject>
    <topic>AI</topic>
    <topic>copyright</topic>
    <topic>licenses</topic>
    <topic>open-source</topic>
    <topic>patents</topic>
    <topic>platforms</topic>
  </subject>
  <classification authority="ddc">340</classification>
  <relatedItem type="host">
    <genre authority="marcgt">periodical</genre>
    <genre>academic journal</genre>
    <titleInfo>
      <title>JIPITEC</title>
    </titleInfo>
    <part>
      <detail type="volume">
        <number>13</number>
      </detail>
      <detail type="issue">
        <number>3</number>
      </detail>
      <date>2022</date>
      <extent unit="page">
        <start>224</start>
        <end>246</end>
      </extent>
    </part>
  </relatedItem>
  <identifier type="issn">2190-3387</identifier>
  <identifier type="urn">urn:nbn:de:0009-29-55579</identifier>
  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-29-55579</identifier>
  <identifier type="citekey">muñoz ferrandis2022</identifier>
</mods>
Download

Full Metadata

JIPITEC – Journal of Intellectual Property, Information Technology and E-Commerce Law
Article search
Extended article search
Newsletter
Subscribe to our newsletter
Follow Us
twitter
 
Navigation