Green Algorithms: Environmental Impact, Legal and Ethical Framework in Artificial Intelligence
| UDC.coleccion | Publicacións UDC | |
| UDC.conferenceTitle | XoveTIC: impulsando el talento científico (8º. 2025. A Coruña) | |
| UDC.endPage | 82 | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.startPage | 75 | |
| dc.contributor.author | Iglesias Losada, Vera | |
| dc.date.accessioned | 2026-09-21T15:08:41Z | |
| dc.date.available | 2026-09-21T15:08:41Z | |
| dc.date.issued | 2025 | |
| dc.description | Presentado 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.citation | Iglesias 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.doi | 10.17979/spu.23.c20 | |
| dc.identifier.isbn | 978-84-9749-925-5 | |
| dc.identifier.uri | https://hdl.handle.net/2183/49341 | |
| dc.language.iso | eng | |
| dc.publisher | Universidade da Coruña, Servizo de Publicacións | |
| dc.relation.uri | https://doi.org/10.17979/spu.23.c20 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Green algorithms | |
| dc.subject | Artificial intelligence sustainability | |
| dc.subject | Environmental impact of AI | |
| dc.subject | Carbon footprint | |
| dc.subject | AI ethics and regulation | |
| dc.title | Green Algorithms: Environmental Impact, Legal and Ethical Framework in Artificial Intelligence | |
| dc.type | conference output | |
| dspace.entity.type | Publication |
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