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                    [id_jnl] => 108
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    [1] => stdClass Object
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            [section] => stdClass Object
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                    [section] => 1859
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    [2] => stdClass Object
        (
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                    [0] => Environmental impact of artificial intelligence: a pending debate@en
                    [1] => Impacto medioambiental de la inteligencia artificial: un debate pendiente@es
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    [3] => stdClass Object
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                    [0] => The arrival of generative artificial intelligence has sparked important debates within all social spheres, including communication and media education. This research seeks to delve into one of its lesser-known effects: its eco-social impact on the environment. To this end, a documentary review of research seeking to understand this reality has been carried out, analysing more than 40 publications on the subject. The studies focus especially on its energy consumption, with its resulting greenhouse gas emissions, as well as on water consumption. However, other phases of its life cycle, such as the extraction of raw materials or the manufacturing of the equipment that supports artificial intelligence, will not be addressed. We found a lack of studies that take a comprehensive view of the impact of the entire life cycle of artificial intelligence. The results would show a high impact of generative artificial intelligence on the environment, with worse repercussions in the countries of the Global South despite not being its main beneficiaries. Researchers agree on the need to commit to "Green AI" as opposed to the current majority trend of "Red AI", which prioritises performance without taking sustainability into account. This reality should be taken into account when updating media education proposals that seek a more critical and sustainable use of digital tools, as well as when formulating global policy proposals that minimise such impacts.@en
                    [1] => La llegada de la inteligencia artificial generativa ha despertado importantes debates dentro de todos los ámbitos sociales incluyendo el de la comunicación y el de la educación mediática. Esta investigación busca adentrarse en uno de sus efectos menos conocidos: su impacto eco-social sobre el medioambiente. Para ello se ha realizado una revisión documental de las investigaciones que buscan conocer esta realidad, analizando más de 40 publicaciones al respecto. Los estudios encontrados se focalizan especialmente en el consumo energético con sus consecuentes emisiones de gases de efecto invernadero, así como en el consumo de agua. No se atienden, sin embargo, otras fases de su ciclo de vida como la extracción de materias primas o la manufactura de los equipamientos en los que se sostiene la inteligencia artificial. Encontramos una carencia de estudios que tengan una visión global del impacto de todo el ciclo de vida de la inteligencia artificial. Los resultados estarían mostrando un alto impacto de la inteligencia artificial generativa sobre el medioambiente, con peores repercusiones en los países del Sur Global a pesar de no ser sus principales beneficiarios. Los investigadores coinciden en la necesidad de apostar por una “Green AI” frente a la mayoritaria tendencia actual de la “Red AI”, que prima el rendimiento sin tener en cuenta su sostenibilidad. Esta realidad debiera ser tenida en cuenta para actualizar las propuestas de educación mediática que buscan un uso más crítico y sostenible de las herramientas digitales así como para formular propuestas de políticas globales que minimicen tales impactos.@es
                )

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    [4] => stdClass Object
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            [author] => Array
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                    [0] => Fernando Tucho
                    [1] => José-María García-de-Madariaga
                )

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    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Inteligencia artificial generativa@es
                    [1] => Impacto medioambiental@es
                    [2] => Green ai@es
                    [3] => Sostenibilidad@es
                    [4] => Consumo energético@es
                    [5] => Consumo de agua@es
                    [6] => Emisiones de co2e@es
                    [7] => Ciencias de la comunicación@es
                    [8] => Educomunicación@es
                    [9] => Transición ecosocial@es
                    [10] => Políticas globales@es
                    [11] => Generative artificial intelligence@en
                    [12] => Environmental impact@en
                    [13] => Green ai@en
                    [14] => Sustainability@en
                    [15] => Energy consumption@en
                    [16] => Water consumption@en
                    [17] => Co2e emissions@en
                    [18] => Communication sciences@en
                    [19] => Educommunication@en
                    [20] => Eco-social transition@en
                    [21] => Global policies@en
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 4
                    [nr] => 1
                    [year] => 2026
                    [theme] => 
                )

        )

    [7] => stdClass Object
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            [datePub] => Array
                (
                    [0] => 2026-01-20
                )

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    [8] => stdClass Object
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            [DOI] => Array
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                    [0] => stdClass Object
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                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.3145/infonomy.26.001
                                )

                        )

                )

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                            [type] => HTTP
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                                    [0] => https://infonomy.scimagoepi.com/index.php/infonomy/article/view/123
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                    [1] => stdClass Object
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                            [type] => HTTP
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                                    [0] => https://infonomy.scimagoepi.com/index.php/infonomy/article/view/123/165
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            [language] => Array
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                    [0] => es
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                    [0] => RESERVED
                    [1] => CCBY4.0
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