Towards Conscious AI: The Role of Computer Sciences in the Energy, Social, and Ethical Sustainability of Artificial Intelligence

Travieso-González, Carlos M.

Towards Conscious AI: The Role of Computer Sciences in the Energy, Social, and Ethical Sustainability of Artificial Intelligence

dc.creator	Travieso-González, Carlos M.
dc.date	2025-12-05
dc.date.accessioned	2026-05-26T16:18:38Z
dc.description	Artificial intelligence has transformed multiple sectors, but its rapid growth brings significant energy, environmental, social, and ethical challenges. To achieve true sustainability, computer science must integrate technical optimization, computational ethics, and social governance. On the energy side, key approaches include pruning, quantization, smaller models, greener infrastructures, and decentralized methods such as federated learning, which reduce consumption and emissions. Social and ethical sustainability requires frameworks that incorporate transparency, fairness, human values, and context-aware metrics to evaluate justice and explainability. Sustainable AI depends on combining energy efficiency with social responsibility, supported by future priorities such as social metrics, integrated auditing tools, renewable-aligned infrastructures, and participatory governance models.	en-US
dc.description	La inteligencia artificial ha transformado múltiples sectores, pero su rápido crecimiento trae importantes desafíos energéticos, ambientales, sociales y éticos. Para lograr una verdadera sostenibilidad, las ciencias de la computación deben integrar la optimización técnica, la ética computacional y la gobernanza social. En el ámbito energético, destacan enfoques como el pruning, la quantization, los modelos más pequeños, las infraestructuras verdes y métodos descentralizados como el federated learning, que reducen el consumo y las emisiones. La sostenibilidad social y ética requiere marcos que incorporen transparencia, equidad, valores humanos y métricas contextualizadas para evaluar justicia y explicabilidad. La sostenibilidad de la IA depende de combinar eficiencia energética con responsabilidad social, apoyada en prioridades futuras como métricas sociales, herramientas de auditoría integrales, infraestructuras alineadas con energías renovables y modelos de gobernanza participativa.	es-ES
dc.format	application/pdf
dc.format	text/xml
dc.format	application/epub+zip
dc.format	text/html
dc.identifier	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3836
dc.identifier	10.22430/22565337.3836
dc.identifier.uri	https://hdl.handle.net/20.500.12622/8154
dc.language	eng
dc.publisher	Instituto Tecnológico Metropolitano (ITM)	en-US
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3836/3843
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3836/3895
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3836/3896
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3836/3922
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dc.rights	Copyright (c) 2025 TecnoLógicas	en-US
dc.rights	https://creativecommons.org/licenses/by-nc-sa/4.0	en-US
dc.source	TecnoLógicas; Vol. 28 No. 64 (2025)	en-US
dc.source	TecnoLógicas; Vol. 28 Núm. 64 (2025)	es-ES
dc.source	2256-5337
dc.source	0123-7799
dc.subject	sostenibilidad	es-ES
dc.subject	eficiencia energética	es-ES
dc.subject	equidad	es-ES
dc.subject	gobernanza	es-ES
dc.subject	inteligencia artificial	es-ES
dc.subject	sustainability	en-US
dc.subject	energy efficiency	en-US
dc.subject	fairness	en-US
dc.subject	governance	en-US
dc.subject	artificial intelligence	en-US
dc.title	Towards Conscious AI: The Role of Computer Sciences in the Energy, Social, and Ethical Sustainability of Artificial Intelligence	en-US
dc.title	Hacia una IA consciente: el papel de las ciencias de la computación en la sostenibilidad energética, social y ética de la inteligencia artificial	es-ES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Editorial	en-US
dc.type	Editorial	es-ES