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Inteligencia Artificial, desarrollo sostenible e igualdad de género

    1. [1] ESIC University
  • Localización: epsir: European Public & Social Innovation Review, ISSN-e 2529-9824, Nº. 10, 5, 2025 (Ejemplar dedicado a: Investigación e inteligencia artificial)
  • Idioma: español
  • DOI: 10.31637/epsir-2025-1457
  • Títulos paralelos:
    • Artificial Intelligence, sustainable development and gender equality
  • Enlaces
  • Resumen
    • español

      Introducción: Este trabajo busca analizar, en la literatura existente, cómo la inteligencia artificial puede aplicarse éticamente para promover el desarrollo sostenible y la igualdad de género, identificando sinergias, desafíos y oportunidades. Metodología: Se realiza una revisión sistemática de un conjunto de 82 artículos obtenidos de una consulta en Scopus, y se identifican los grupos de discusión. Se utiliza Excel y VOSviewer. Resultados: Es un campo de investigación con 16 años de historia que inicia en 2007 y que a partir de 2018 crece exponencialmente. Destaca la revista Technological Forecasting and Social Change. Discusión: Destacan 4 grupos de investigación, igualdad de género, salud y bienestar; política global y deep learning; tecnología, educación stem e inteligencia artificial; machine learning y salud. Conclusiones: La colaboración y la cooperación en la toma de decisiones son cruciales para abordar desafíos complejos que puedan contribuir al logro de los objetivos de desarrollo sostenible, especialmente en el contexto de la igualdad de género y el empoderamiento de mujeres y niñas en todos los países. Es crucial implementar estrategias específicas que garanticen la participación activa de las mujeres en la toma de decisiones y en la construcción de soluciones sostenibles, respaldadas por herramientas de inteligencia artificial.

    • English

      Introduction: This paper seeks to analyse existing literature on how artificial intelligence can be ethically applied to promote sustainable development and gender equality, identifying synergies, challenges and opportunities. Methodology: A systematic review of a set of 82 articles obtained from a Scopus search is carried out, and discussion groups are identified. Excel and VOSviewer were used. Results: It is a field of research with 16 years of history that began in 2007 and has been growing exponentially since 2018. The journal Technological Forecasting and Social Change stands out. Discussions: Four research groups stand out: gender equality, health and well-being; global politics and deep learning; technology, stem education and artificial intelligence; machine learning and health. Conclusions: Collaborative and cooperative decision-making is crucial to address complex challenges that can contribute to the achievement of the Sustainable Development Goals, especially in the context of gender equality and the empowerment of women and girls in all countries. It is crucial to implement specific strategies that ensure women's active participation in decision-making and in building sustainable solutions, supported by artificial intelligence tools.

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