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March 3, 2026
Environmental sustainability of Artificial Intelligence: A GUM-based, user-centered measurement framework
LA
Leopoldo Angrisani
MD
Mauro D’Arco
University of Naples Federico II
EB
Egidio De Benedetto
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Puntos clave
Environmental sustainability is critical for developing artificial intelligence technologies, emphasizing user-centered design principles.
The framework includes strategies to measure greenhouse gas emissions associated with AI utilization in various sectors.
Development utilizes a GUM-based framework, providing a structured approach to assessing the environmental impact of AI.
Implications highlight the need for industry adaptation towards greener practices in AI development and implementation.
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Cite This Study
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Angrisani et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75fa0c6e9836116a2b223
https://doi.org/https://doi.org/10.1016/j.measurement.2026.120654
Environmental sustainability of Artificial Intelligence: A GUM-based, user-centered measurement framework | Synapse