Green Algorithms: Environmental Impact, Legal and Ethical Framework in Artificial Intelligence

UDC.coleccionPublicacións UDC
UDC.conferenceTitleXoveTIC: impulsando el talento científico (8º. 2025. A Coruña)
UDC.endPage82
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.startPage75
dc.contributor.authorIglesias Losada, Vera
dc.date.accessioned2026-09-21T15:08:41Z
dc.date.available2026-09-21T15:08:41Z
dc.date.issued2025
dc.descriptionPresentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
dc.description.abstract[Abstract] This article explores the concept of green algorithms and their connection to sustainability in the field of artificial intelligence, analyzing the environmental impact of emerging technologies, with special attention to the energy consumption of AI models and the carbon footprint generated by data centers. The aim is to delve into the legal and ethical aspects related to the development of sustainable technologies, reviewing the international and European regulatory framework, as well as the existing legal gaps, while addressing the ethical principles that should guide responsible technological innovation.
dc.identifier.citationIglesias Losada, V. (2026). Green Algorithms: Environmental Impact, Legal and Ethical Framework in Artificial Intelligence. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 75-82). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c20
dc.identifier.doi10.17979/spu.23.c20
dc.identifier.isbn978-84-9749-925-5
dc.identifier.urihttps://hdl.handle.net/2183/49341
dc.language.isoeng
dc.publisherUniversidade da Coruña, Servizo de Publicacións
dc.relation.urihttps://doi.org/10.17979/spu.23.c20
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGreen algorithms
dc.subjectArtificial intelligence sustainability
dc.subjectEnvironmental impact of AI
dc.subjectCarbon footprint
dc.subjectAI ethics and regulation
dc.titleGreen Algorithms: Environmental Impact, Legal and Ethical Framework in Artificial Intelligence
dc.typeconference output
dspace.entity.typePublication

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