Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)

The increasing integration of artificial intelligence (AI) into educational environments necessitates a structured framework to ensure its safe and ethical use. A manifesto outlining seven core principles for safe AI in education has been proposed, emphasizing the protection of student data, alignme...

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Detalles Bibliográficos
Autores: García Peñalvo, Francisco José, Alier, Marc, Pereira Juanan, Casany, María José
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Pablo de Olavide (UPO)
Repositorio:RIO. Repositorio Institucional Olavide
Idioma:inglés
OAI Identifier:oai:rio.upo.es:10433/23419
Acceso en línea:https://hdl.handle.net/10433/23419
Access Level:acceso abierto
Palabra clave:Artificial Intelligence in Education
AIED
Safe AI Framework
Smart Learning Applications (SLApps)
Large Language Models
Academic Integrity and AI
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spelling Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)Inteligencia Artificial Segura, Transparente y Ética: Claves para una Educación Sostenible de calidad (ODS4)García Peñalvo, Francisco JoséAlier, MarcPereira JuananCasany, María JoséArtificial Intelligence in EducationAIEDSafe AI FrameworkSmart Learning Applications (SLApps)Large Language ModelsAcademic Integrity and AIThe increasing integration of artificial intelligence (AI) into educational environments necessitates a structured framework to ensure its safe and ethical use. A manifesto outlining seven core principles for safe AI in education has been proposed, emphasizing the protection of student data, alignment with institutional strategies, adherence to didactic practices, minimization of errors, comprehensive user interfaces, human oversight, and ethical transparency. These principles are designed to guide the deployment of AI technologies in educational settings, addressing potential risks such as privacy violations, misuse, and over-reliance on technology. Smart Learning Applications (SLApps) are also introduced, integrating AI into the existing institutional technological ecosystem, with special attention to the learning management systems, enabling secure, role-adaptive, and course-specific learning experiences. While large language models like GPT offer transformative potential in education, they also present challenges related to accuracy, ethical use, and pedagogical alignment. To navigate these complexities, a checklist based on the Safe AI in Education principles is recommended, providing educators and institutions with a framework to evaluate AI tools, ensuring they support academic integrity, enhance learning experiences, and uphold ethical standards.Universidad Pablo de Olavide20252025-03-0520242024-12-0320242024-12-03journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10433/23419reponame:RIO. Repositorio Institucional Olavideinstname:Universidad Pablo de Olavide (UPO)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:rio.upo.es:10433/234192026-06-13T12:46:27Z
dc.title.none.fl_str_mv Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
Inteligencia Artificial Segura, Transparente y Ética: Claves para una Educación Sostenible de calidad (ODS4)
title Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
spellingShingle Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
García Peñalvo, Francisco José
Artificial Intelligence in Education
AIED
Safe AI Framework
Smart Learning Applications (SLApps)
Large Language Models
Academic Integrity and AI
title_short Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
title_full Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
title_fullStr Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
title_full_unstemmed Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
title_sort Safe, Transparent, and Ethical Artificial Intelligence: Keys to Quality Sustainable Education (SDG4)
dc.creator.none.fl_str_mv García Peñalvo, Francisco José
Alier, Marc
Pereira Juanan
Casany, María José
author García Peñalvo, Francisco José
author_facet García Peñalvo, Francisco José
Alier, Marc
Pereira Juanan
Casany, María José
author_role author
author2 Alier, Marc
Pereira Juanan
Casany, María José
author2_role author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Artificial Intelligence in Education
AIED
Safe AI Framework
Smart Learning Applications (SLApps)
Large Language Models
Academic Integrity and AI
topic Artificial Intelligence in Education
AIED
Safe AI Framework
Smart Learning Applications (SLApps)
Large Language Models
Academic Integrity and AI
description The increasing integration of artificial intelligence (AI) into educational environments necessitates a structured framework to ensure its safe and ethical use. A manifesto outlining seven core principles for safe AI in education has been proposed, emphasizing the protection of student data, alignment with institutional strategies, adherence to didactic practices, minimization of errors, comprehensive user interfaces, human oversight, and ethical transparency. These principles are designed to guide the deployment of AI technologies in educational settings, addressing potential risks such as privacy violations, misuse, and over-reliance on technology. Smart Learning Applications (SLApps) are also introduced, integrating AI into the existing institutional technological ecosystem, with special attention to the learning management systems, enabling secure, role-adaptive, and course-specific learning experiences. While large language models like GPT offer transformative potential in education, they also present challenges related to accuracy, ethical use, and pedagogical alignment. To navigate these complexities, a checklist based on the Safe AI in Education principles is recommended, providing educators and institutions with a framework to evaluate AI tools, ensuring they support academic integrity, enhance learning experiences, and uphold ethical standards.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-12-03
2024
2024-12-03
2025
2025-03-05
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10433/23419
url https://hdl.handle.net/10433/23419
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Pablo de Olavide
publisher.none.fl_str_mv Universidad Pablo de Olavide
dc.source.none.fl_str_mv reponame:RIO. Repositorio Institucional Olavide
instname:Universidad Pablo de Olavide (UPO)
instname_str Universidad Pablo de Olavide (UPO)
reponame_str RIO. Repositorio Institucional Olavide
collection RIO. Repositorio Institucional Olavide
repository.name.fl_str_mv
repository.mail.fl_str_mv
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