<?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>2602-8484</journal-id>
<journal-title><![CDATA[FIGEMPA: Investigación y Desarrollo]]></journal-title>
<abbrev-journal-title><![CDATA[Figempa]]></abbrev-journal-title>
<issn>2602-8484</issn>
<publisher>
<publisher-name><![CDATA[Universidad Central de Ecuador ]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2602-84842023000200023</article-id>
<article-id pub-id-type="doi">10.29166/revfig.v16i2.4498</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Situación de la Inteligencia Artificial en el Ecuador en relación con los países líderes de la región del Cono Sur]]></article-title>
<article-title xml:lang=""><![CDATA[Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barragán-Martínez]]></surname>
<given-names><![CDATA[Xavier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Altos Estudios Nacionales. Escuela de Prospectiva Estratégica. Quito  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>16</volume>
<numero>2</numero>
<fpage>23</fpage>
<lpage>38</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&amp;pid=S2602-84842023000200023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_abstract&amp;pid=S2602-84842023000200023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_pdf&amp;pid=S2602-84842023000200023&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo de este trabajo es identificar y comprender el estado de situación del ecosistema de la Inteligencia Artificial (IA) del Ecuador, para lo que se define una metodología de medición del estado de la IA aplicado a los países líderes en este ámbito de la región, pretendiendo reflejar la situación del Ecosistema de Inteligencia Artificial; por lo que, se toma como referencia a la metodología del Índice de IA de Tortoise que define tres pilares de análisis; inversión, innovación e implementación, que utiliza 143 indicadores divididos en siete subpilares: Talento, Infraestructura, Entorno Operativo, Investigación, Desarrollo, Estrategia Gubernamental y Comercial. La propuesta mantiene los primeros cinco subpilares y utiliza uno nuevo denominado Institucionalidad que integra a las estrategias gubernamentales y comerciales. La investigación se suscribe en un método descriptivo, cuantitativo y analítico de revisión de fuentes secundarias y bases de datos de organismos, empresas, gobiernos, entre otras. Los hallazgos muestran que existe una brecha significativa al comparar al ecosistema de la IA en el Ecuador con los ecosistemas de Argentina, Brasil, Chile, Colombia, y Uruguay; mostrando un incipiente uso, adopción de esta tecnología y la falta de políticas públicas que fomenten el aprovechamiento de la IA como medio de desarrollo social, económico y ambiental.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The objective of this work is to identify and understand the status of the Artificial Intelligence (AI) ecosystem in Ecuador, for which a methodology for measuring the status of AI applied to the leading countries in this area of the region is defined, pretending to reflect the situation of the Artificial Intelligence Ecosystem; therefore, the Tortoise AI Index methodology is taken as a reference, which defines three pillars of analysis; investment, innovation and implementation, which uses 143 indicators divided into seven sub-pillars: Talent, Infrastructure, Operating Environment, Research, Development, Government and Commercial Strategy. The proposal maintains the first five subpillars and uses a new one called institutionality that integrates government and commercial strategies. The research subscribes to a descriptive, quantitative and analytical method of reviewing secondary sources and databases of organizations, companies, governments, among others. The findings show that there is a significant gap when comparing the AI ecosystem in Ecuador with the ecosystems of Argentina, Brazil, Chile, Colombia, and Uruguay; showing an incipient use, adoption of this technology and the lack of public policies that encourage the use of AI as a means of social, economic and environmental development.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[ecosistema IA]]></kwd>
<kwd lng="es"><![CDATA[metodología]]></kwd>
<kwd lng="es"><![CDATA[Tortoise]]></kwd>
<kwd lng="es"><![CDATA[indicadores]]></kwd>
<kwd lng="es"><![CDATA[tecnología]]></kwd>
<kwd lng="es"><![CDATA[situación actual]]></kwd>
<kwd lng="en"><![CDATA[AI ecosystem]]></kwd>
<kwd lng="en"><![CDATA[methodology]]></kwd>
<kwd lng="en"><![CDATA[Tortoise]]></kwd>
<kwd lng="en"><![CDATA[indicators]]></kwd>
<kwd lng="en"><![CDATA[technology]]></kwd>
<kwd lng="en"><![CDATA[current situation]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="">
<collab>Accenture</collab>
<source><![CDATA[El arte de la madurez de la IA: de la práctica a los resultados]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[The Demand for AI Skills in the Labor Market. Labour Economics]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alekseeva]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Azar]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gine]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Samila]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Taska]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<source><![CDATA[Forthcoming]]></source>
<year>2019</year>
<page-range>1-60</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<collab>BID</collab>
<source><![CDATA[Inteligencia artificial Gran oportunidad del siglo XXI]]></source>
<year>2020</year>
<publisher-loc><![CDATA[Washington, D.C. ]]></publisher-loc>
<publisher-name><![CDATA[Banco Interamericano de Desarrollo]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[La inteligencia artificial aplicada al C2]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cañado]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<source><![CDATA[Revista General de Marina]]></source>
<year>2022</year>
<volume>282</volume>
<page-range>521-6</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castro]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[McLaughlin]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Chivot]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Who Is Winning the AI Race: China, the EU or the United States? &#8211; Center for Data Innovation.]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="">
<collab>Cepal</collab>
<source><![CDATA[Cumbre de Inteligencia Artificial en América Latina]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="">
<collab>Diario Popular</collab>
<source><![CDATA[La Unesco crea marco ético y político para la Inteligencia Artificial]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<collab>ECB</collab>
<source><![CDATA[El Banco Central Europeo]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Digital technology can cut global emissions by 15%. Here&#8217;s how]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ekholm]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Rockström]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Foro Económico Mundial.]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="">
<collab>European Commission</collab>
<source><![CDATA[Liability Rules for Artificial Intelligence]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fouirner Guimbao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Inteligencia artificial: una carrera hacia un futuro tecnológico.]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="book">
<collab>Gartner</collab>
<source><![CDATA[Trends Shaping the Future of Digital Business]]></source>
<year>2021</year>
<publisher-loc><![CDATA[Stanford ]]></publisher-loc>
<publisher-name><![CDATA[Gartner]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="">
<collab>Gartner</collab>
<source><![CDATA[Las 4 tendencias que prevalecen en el Hype Cycle de Gartner para la IA]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gómez Mont]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Pozo]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez Pinto]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Martín del Campo Alcocer]]></surname>
<given-names><![CDATA[A. V.]]></given-names>
</name>
</person-group>
<source><![CDATA[La inteligencia artificial al servicio del bien social en América Latina y el Caribe: Panorámica regional e instantáneas de doce países]]></source>
<year>2020</year>
<publisher-name><![CDATA[Banco Interamericano de Desarrollo.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="">
<collab>iProUP</collab>
<source><![CDATA[Inteligencia artificial, clave en el eCommerce: este es su impacto]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Collaborative Robots: Frontiers of Current Literature]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Knudsen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaívo-Oja]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Journal of Intelligent Systems: Theory and Applications]]></source>
<year>2020</year>
<page-range>13-20</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[Artificial general intelligence and creative economy]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kotis]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Academia Letters]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<article-title xml:lang=""><![CDATA[The impact of Artificial Intelligence on the labour market: What do we know so far?]]></article-title>
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lane]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Saint-Martin]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[OECD Social, Employment and Migration Working Papers]]></source>
<year>2021</year>
<volume>256</volume>
<publisher-loc><![CDATA[Paris ]]></publisher-loc>
<publisher-name><![CDATA[OECD Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="">
<collab>Market Research Future</collab>
<source><![CDATA[AI in social media market size, growth and forecast 2020 &#8211;2030]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Investigación descriptiva: definición, tipos y características]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[McCarthy]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[What is Artificial Intelligence?]]></source>
<year>2007</year>
<publisher-loc><![CDATA[Stanford ]]></publisher-loc>
<publisher-name><![CDATA[Computer Science Department. Stanford University]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Osman]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Estadísticas de Ecommerce para 2019 - Chatbots, Voz, Omni-Channel Marketing]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="">
<collab>Oxford Insights</collab>
<source><![CDATA[Government AI Readiness Index 2021]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="book">
<collab>Parlamento Europeo</collab>
<source><![CDATA[Proyecto de informe sobre la Inteligencia Artificial en la Era Digital (2020/2266(INI))]]></source>
<year>2021</year>
<publisher-loc><![CDATA[Bruselas ]]></publisher-loc>
<publisher-name><![CDATA[Parlamento Europeo 2019-2024.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Purdy]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Daugherty]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[How AI industry profits and innovation boosts]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rao]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Verwei]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Sizing the prize What&#8217;s the real value of AI for your business and how can you capitalise?]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="">
<collab>Stanford University</collab>
<source><![CDATA[The AI Index Report 2022 &#8211; Artificial Intelligence Index]]></source>
<year>2021</year>
</nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="">
<collab>Statista</collab>
<source><![CDATA[Total global AI investment 2015-2021]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="book">
<collab>TMG</collab>
<source><![CDATA[Repaso de las políticas y desarrollos latinoamericanos sobre inteligencia artificial]]></source>
<year>2020</year>
<publisher-loc><![CDATA[Virginia ]]></publisher-loc>
<publisher-name><![CDATA[Telecommunications Management Group, Inc.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="">
<collab>Tortoise</collab>
<source><![CDATA[Tortoise]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="">
<collab>Viewnext</collab>
<source><![CDATA[Aplicaciones de la Inteligencia Artificial en la actualidad]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="">
<collab>World Economic Forum</collab>
<source><![CDATA[Digital technology can cut global emissions by 15%. Here&#8217;s how]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="confpro">
<collab>World Economic Forum</collab>
<source><![CDATA[Jobs of Tomorrow Mapping Opportunity in the New Economy]]></source>
<year>2020</year>
<conf-name><![CDATA[ World Economic Forum]]></conf-name>
<conf-loc>Geneva </conf-loc>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
