<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-0976</journal-id>
<journal-title><![CDATA[Revista Interamericana de Bibliotecología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Interam. Bibliot]]></abbrev-journal-title>
<issn>0120-0976</issn>
<publisher>
<publisher-name><![CDATA[Escuela Interamericana de Bibliotecología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-09762025000300007</article-id>
<article-id pub-id-type="doi">10.17533/udea.rib.v48n3e358961</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Derechos de autor y licencias de la inteligencia artificial generativa: un análisis desde la ciencia abierta en América Latina]]></article-title>
<article-title xml:lang="en"><![CDATA[Copyright and Licenses of Generative Artificial Intelligence: An Analysis from Open Science in Latin America]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Palma Peña]]></surname>
<given-names><![CDATA[Juan Miguel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de México  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>48</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-09762025000300007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-09762025000300007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-09762025000300007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen A nivel global, diversos Gobiernos, instituciones y universidades debaten sobre los productos de información que usa y produce la inteligencia artificial generativa para su entrenamiento, por lo que puede decirse que dicha situación está vinculada con temas de regulación de derechos de autor, sobre el uso, el permiso y referencia de aquellos productos. En este sentido, el objetivo de esta investigación fue identificar los derechos de autor y las licencias que a la fecha los Gobiernos, las instituciones de educación superior y los organismos de investigación de América Latina desarrollan para legislar los productos de información que usa y produce la inteligencia artificial generativa. En cuanto a la metodología, se llevó a cabo con revisión bibliográfica, con métodos cuantitativos y cualitativos. Para el análisis exploratorio se consultó la World Intellectual Property Organization, Lex Data, el Observatorio de políticas nacionales de IA, el Índice Latinoamericano de Inteligencia Artificial, flexibilidades de las bases de datos respecto del derecho de autor en América Latina y capítulos Creative Commons de América Latina. La búsqueda y recuperación de información se basó en cinco categorías definidas. Una conclusión general es que la inteligencia artificial generativa es una actividad informativa que debe ser atendida con regulaciones de derechos de autor y licencias abiertas para actuar desde la ética y con transparencia, y evitar infringir derechos o incurrir en acciones poco favorables.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract At the global level, several governments, institutions, and universities are debating about the information products they use and produce the generative artificial intelligence for their training, so that might be this situation defined as being linked to copyright regulation issues regarding the use, permission, and reference of said products. In this regard, this research aims to identify the copyrights and licenses that governments, Higher Education Institutions and Research Organizations in Latin America have developed to date to regulate the information products used and produced by GenAI. The methodology for this research includes a bibliographic review, as well as quantitative and qualitative methods. For the exploratory analysis, the WIPO Lex Data; the National AI Policy Observatory; the Latin American Artificial Intelligence Index; Database Flexibilities Regarding Copyright in Latin America; and Creative Commons chapters on Latin American and Caribbean Law were consulted. Information search and retrieval is based on five defined categories. A general conclusion is that GenAI is an informational activity that must be regulated by copyright regulations and open licenses to act ethically and transparently, thereby avoiding infringement of rights and/or engaging in unfavorable actions.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[inteligencia artificial generativa]]></kwd>
<kwd lng="es"><![CDATA[ciencia abierta]]></kwd>
<kwd lng="es"><![CDATA[derechos de autor]]></kwd>
<kwd lng="es"><![CDATA[licencias]]></kwd>
<kwd lng="es"><![CDATA[normatividades]]></kwd>
<kwd lng="en"><![CDATA[Generative artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[open science]]></kwd>
<kwd lng="en"><![CDATA[library and information science]]></kwd>
<kwd lng="en"><![CDATA[copyright]]></kwd>
<kwd lng="en"><![CDATA[licenses]]></kwd>
<kwd lng="en"><![CDATA[regulations]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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