The new scenarios of the digital society in the face of the challenge of Generative Artificial Intelligence (AI)
Objective: To present the monograph that deals with the new scenarios of the digital society in the face of the challenge of Generative Artificial Intelligence (AI), highlighting its technological, ethical, epistemological and social implications. The article aims to present the selected studies, hi...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | Brasil |
| Recursos: | Universidade Federal de Santa Catarina (UFSC) |
| Repositorio: | Encontros Bibli |
| Idioma: | portugués |
| OAI Identifier: | oai:periodicos.ufsc.br:article/105080 |
| Acesso em linha: | https://periodicos.ufsc.br/index.php/eb/article/view/105080 |
| Access Level: | acceso abierto |
| Palavra-chave: | Equidade Sustentabilidade Educação Ética Inteligência Artificial Equity Sustainability Education Ethics Artificial Intelligence Artificial Intelligence. Ethics. Education. Sustainability. Equity. |
| Resumo: | Objective: To present the monograph that deals with the new scenarios of the digital society in the face of the challenge of Generative Artificial Intelligence (AI), highlighting its technological, ethical, epistemological and social implications. The article aims to present the selected studies, highlighting their contributions to sectors such as education, media and librarianship, and to propose guidelines for the responsible integration of these tools. Methodology: The research adopts an interdisciplinary approach, combining qualitative and quantitative methods, based on the analysis of empirical and theoretical studies developed by researchers from several countries, including Brazil, Spain, Italy and Portugal. The universe includes AI applications in educational, media and institutional contexts. Results: The main findings highlight the democratisation of access to content creation through generative AI, the transformation of traditional paradigms of knowledge production and evaluation, and the challenges related to algorithmic bias, energy impacts and social inequalities. The potential of AI to personalise educational services and librarianship is also highlighted, with attention to ethical and epistemological issues. Conclusions: The main contribution of the monograph is to provide a structured view of the cross-cutting implications of generative AI, systematising advances and challenges. The text proposes normative and collaborative frameworks to ensure an equitable, sustainable and responsible implementation of these technologies. The importance of an ethical and interdisciplinary dialogue to reconcile technological advances with societal values is emphasised. KEYWORDS: Artificial Intelligence. Ethics. Education. Sustainability. Equity. |
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