Domínguez Rigo, MiguelAlonso Garrido, María Ángeles2025-12-162025-12-162025-09-26Domínguez Rigo, M., & Alonso Garrido, M. Á. (2025). Detection of Images Generated by Artificial Intelligence, Literacy Visual and Disinformation. Iris Journal of Educational Research, 5(4). https://doi.org/10.33552/IJER.2025.05.0006142993-875910.33552/IJER.2025.05.000614https://hdl.handle.net/20.500.14352/129139Referencias bibliográficas: • Villamar JA, Revuelta F, Acosta M, Rivera Mieles AB (2021) Visual Literacy. Proceedings of Design 37: 142–147. • Caro Samada MC (2015) Information and truth in the use of social networks by part of adolescents. Educational Theory Magazine Interuniversitaria 27(1): 187-199. • Domínguez Rigo M (2020) Visual literacy as a Visual literacy as a defence against fake news. Journal of Learning Styles 13(26): 85–93. • Gómez-de-Ágreda, Ángel Feijóo C, Salazar-García IA (2021) A new taxonomy of the use of images in shaping Digital storytelling interested party. 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Economía Y Sociedad 25(57): 1-18. • Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 the one that is established rules harmonized in the field of artificial intelligence and by the one that is modified the Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Regulation). Journal Official Journal of the European Union, L 2024/1689, of 12 July 2024. • Sanchez-Acedo A, Carbonell-Alcocer A, Gertrudix M, Rubio-Tamayo JL (2024) The challenges of media and information literacy in the artificial intelligence ecology: deepfakes and misinformation. Communication & Society 37(4): 223-239.The dizzying progress of generative artificial intelligence in image generation in recent years poses a challenge when it comes to detecting and identifying synthetic images that have been artificially generated. Through a comparative study between two selected groups of people (one with a higher level of visual literacy than the other) to whom we showed two images, one real and the other generated by artificial intelligence, we obtained results that show the real difficulty that both groups, regardless of their level of visual literacy, had in correctly identifying the origin of the images. The degree of realism in the AI-generated images is such that those with higher levels of visual literacy also have problems distinguishing between the real and synthetic image. We conclude that visual literacy is still necessary, but may not be sufficient in the current context, and that it is appropriate to integrate greater digital and media literacy, as well as visual literacy that integrates new strategies related to new technologies, to help detect the misinformation that an improper use of artificial intelligence can generate.engAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/journal articlehttps://doi.org/10.33552/IJER.2025.05.000614https://produccioncientifica.ucm.es/documentos/68e0155c487e182b7b98bdc1https://irispublishers.com/ijer/fulltext/detection-of-images-generated-by-artificial.ID.000614.phpopen access004.877070.16004.8:37DisinformationArtificial IntelligenceVisual LiteracyDetectionDeepfakeInteligencia artificial (Informática)FotografíaInvestigación en la comunicaciónEducaciónMétodos de investigación en educaciónMétodos de enseñanza62 Ciencias de las Artes y las Letras3304 Tecnología de Los Ordenadores6203.08 Fotografía5801 Teoría y Métodos Educativos