<?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>1886-5887</journal-id>
<journal-title><![CDATA[Revista de Bioética y Derecho]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Bioética y Derecho]]></abbrev-journal-title>
<issn>1886-5887</issn>
<publisher>
<publisher-name><![CDATA[Observatori de Bioètica i Dret - Cátedra UNESCO de Bioética]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1886-58872023000100017</article-id>
<article-id pub-id-type="doi">10.1344/rbd2023.57.35146</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Aspectos bioéticos da utilização de sistemas de inteligência artificial no campo da saúde: um estudo exploratório]]></article-title>
<article-title xml:lang="ca"><![CDATA[Aspectes bioètics de l'ús de sistemes d'intel·ligència artificial en el camp de la salut: un estudi exploratory]]></article-title>
<article-title xml:lang="es"><![CDATA[Aspectos bioéticos del uso de sistemas de inteligencia artificial en el campo de la salud: un estudio exploratorio]]></article-title>
<article-title xml:lang="en"><![CDATA[Bioethics issues related to artificial intelligence in health: an exploratory study]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Duarte]]></surname>
<given-names><![CDATA[Evelise S]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sutel-de Moura]]></surname>
<given-names><![CDATA[Fagner]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pestillo-de Oliveira]]></surname>
<given-names><![CDATA[Leonardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[França-Garcia]]></surname>
<given-names><![CDATA[Lucas]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Cesumar  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Cesumar  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Cesumar de Ciência, Tecnologia e Inovação Programa de Pós-Graduação em Promoção da Saúde da UniCesumar ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Instituto Cesumar de Ciência, Tecnologia e Inovação Programa de Pós-Graduação em Promoção da Saúde da UniCesumar ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<numero>57</numero>
<fpage>263</fpage>
<lpage>285</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S1886-58872023000100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S1886-58872023000100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S1886-58872023000100017&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo  Objetivo: analisar a percepção de usuários de redes sociais a respeito da utilização de sistemas de IA no campo da saúde e os aspectos bioéticos associados a essa utilização.  Método: Estudo de método mistos, do tipo descritivo-exploratório. O percurso metodológico foi dividido em duas etapas: (1) levantamento de informação a respeito dos principais aspectos bioéticos envolvidos na utilização de IA e (2) elaboração dos cenários de tomada de decisão. Os dados quantitativos foram analisados por meio de estatística descritiva a fim de caracterizar a amostra do ponto de vista sociodemográfico, bem como caracterizar o perfil de tomada de decisão da amostra com relação às questões bioéticas associadas à utilização de sistemas de IA. A análise dos dados qualitativos foi realizada por meio da análise de conteúdo de Bardin.  Resultados: com relação ao perfil sociodemográfico pode-se observar uma amostra de adultos, do sexo feminino, com curso superior completo. Com relação às preocupados éticas associadas aos cenários aplicados, as principais preocupações foram em primeiro lugar a privacidade e confidencialidade dos dados, seguido de preocupações relacionadas à responsabilidade associada a utilização destas tecnologias, bem como ao consentimento informado.  Conclusão: Desta forma, destaca-se a importância de novos estudos empíricos exploratórios como este, avaliando a percepção, atitudes e opiniões de públicos especializados, como profissionais da área da saúde, do direito, das humanidades, a fim de se obter evidências concretas para a elaboração de programas de gestão e governança dos sistemas de IA, sobretudo no cenário brasileiro, de escassez de recursos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="ca"><p><![CDATA[Resum  Objectiu: analitzar la percepció dels usuaris de les xarxes socials sobre l'ús de sistemes d'IA al camp de la salut i els aspectes bioètics associats a aquest ús.  Mètode: Estudi de mètode mixt, del tipus descriptiu-exploratori. El camí metodològic es va dividir en dues etapes: (1) recopilació d'informació sobre els aspectes bioètics principals involucrats en l'ús de la IA i (2) elaboració d'escenaris per a la presa de decisions. Les dades quantitatives es van analitzar mitjançant estadística descriptiva per caracteritzar la mostra des del punt de vista sociodemogràfic, així com per caracteritzar el perfil de presa de decisions de la mostra pel que fa a qüestions bioètiques associades a l'ús de sistemes d'IA. L'anàlisi de dades qualitatives es va fer utilitzant l'anàlisi de contingut de Bardin.  Resultats: quant al perfil sociodemogràfic, es pot observar una mostra de dones adultes amb títol universitari. Pel que fa a les preocupacions ètiques associades als escenaris aplicats, les principals preocupacions van ser en primer lloc la privadesa i confidencialitat de les dades, seguides de les preocupacions relacionades amb la responsabilitat associada a l'ús d'aquestes tecnologies, així com el consentiment informat.  Conclusió: D'aquesta manera, es destaca la importància de nous estudis empírics exploratoris com aquest, que avaluïn la percepció, actituds i opinions de públics especialitzats, com a professionals de la salut, dret, humanitats, per tal d'obtenir evidències concretes per al desenvolupament . programes de gestió i governança dels sistemes d'IA, especialment a l'escenari brasiler, on els recursos són escassos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo: analizar la percepción de los usuarios de las redes sociales sobre el uso de sistemas de IA en el campo de la salud y aspectos bioéticos asociados a este uso.  Método: método mixto, del tipo descriptivo-exploratorio. El camino metodológico se dividió en dos etapas: (1) recopilación de información sobre los principales aspectos bioéticos involucrados en el uso de la IA y (2) elaboración de escenarios para la toma de decisiones. Los datos cuantitativos se analizaron mediante estadística descriptiva para caracterizar la muestra desde el punto de vista sociodemográfico, así como para caracterizar el perfil de toma de decisiones de la muestra con respecto a cuestiones bioéticas asociadas al uso de sistemas de IA. El análisis de datos cualitativos se realizó utilizando el análisis de contenido de Bardin.  Resultados: en el perfil sociodemográfico se observa una muestra de mujeres adultas con título universitario. En cuanto a las preocupaciones éticas asociadas a los escenarios aplicados, las principales preocupaciones fueron en primer lugar la privacidad y confidencialidad de los datos, seguidas de las preocupaciones relacionadas con la responsabilidad asociada al uso de estas tecnologías, así como el consentimiento informado.  Conclusión: De esta forma, se destaca la importancia de nuevos estudios empíricos exploratorios como este, que evalúen la percepción, actitudes y opiniones de públicos especializados, como profesionales de la salud, derecho, humanidades, con el fin de obtener evidencias concretas para el desarrollo. de programas de gestión y gobernanza de los sistemas de IA, especialmente en el escenario brasileño, donde los recursos son escasos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective: to analyze the perception of users of social networks regarding the use of AI systems in the field of health and the bioethical aspects associated with this use.  Method: Mixed method study, of the descriptive-exploratory type. The methodological path was divided into two stages: (1) gathering information about the main bioethical aspects involved in the use of AI and (2) elaboration of decision-making scenarios. Quantitative data were analyzed using descriptive statistics in order to characterize the sample from a sociodemographic point of view, as well as to characterize the sample's decision-making profile regarding bioethical issues associated with the use of AI systems. Qualitative data analysis was performed using Bardin's content analysis.  Results: with regard to the sociodemographic profile, a sample of female adults with a university degree can be observed. With regard to the ethical concerns associated with the applied scenarios, the main concerns were in the first place the privacy and confidentiality of the data, followed by concerns related to the responsibility associated with the use of these technologies, as well as informed consent.  Conclusion: In this way, the importance of new exploratory empirical studies like this one is highlighted, evaluating the perception, attitudes and opinions of specialized audiences, such as professionals in the health, law, humanities, in order to obtain concrete evidence to the development of management and governance programs for AI systems, especially in the Brazilian scenario, where resources are scarce.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[inteligência artificial]]></kwd>
<kwd lng="pt"><![CDATA[bioética]]></kwd>
<kwd lng="pt"><![CDATA[promoção da saúde]]></kwd>
<kwd lng="ca"><![CDATA[intel·ligència artificial]]></kwd>
<kwd lng="ca"><![CDATA[bioètica]]></kwd>
<kwd lng="ca"><![CDATA[promoció de la salut]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[bioética]]></kwd>
<kwd lng="es"><![CDATA[promoción de la salud]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[bioethics]]></kwd>
<kwd lng="en"><![CDATA[health promotion]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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