This paper scrutinises the interplay between Artificial Intelligence (AI) and sustainable development, critically evaluating AI’s environmental footprint, which encompasses considerable energy consumption and CO2 emissions during model training. The paper underscores the importance of policy interventions, with a focus on the incorporation of sustainability criteria in the AI Act. In conclusion, the paper acknowledges AI’s transformative potential in addressing pressing global issues such as energy poverty, underscoring the necessity for its sustainable and ethical development.
Il presente contributo esamina l’interazione tra l’Intelligenza Artificiale (AI) e lo sviluppo sostenibile, valutando criticamente l’impronta ambientale dell’AI, che comprende un notevole consumo energetico e altrettanto notevoli emissioni di CO2 durante l’addestramento dei modelli. Il contributo sottolinea l’importanza degli interventi legislativi, con un focus sull’integrazione dei criteri di sostenibilità nell’AI Act. In conclusione, il contributo riconosce il potenziale trasformativo dell’AI nel risolvere problemi globali urgenti come la povertà energetica, sottolineando la necessità del suo sviluppo sostenibile ed etico.
Navigating the AI Paradox: Tackling Energy Poverty and Reducing Environmental Impact through Sustainable Artificial Intelligence Development
Limongelli Rocco
2023-01-01
Abstract
This paper scrutinises the interplay between Artificial Intelligence (AI) and sustainable development, critically evaluating AI’s environmental footprint, which encompasses considerable energy consumption and CO2 emissions during model training. The paper underscores the importance of policy interventions, with a focus on the incorporation of sustainability criteria in the AI Act. In conclusion, the paper acknowledges AI’s transformative potential in addressing pressing global issues such as energy poverty, underscoring the necessity for its sustainable and ethical development.File | Dimensione | Formato | |
---|---|---|---|
Limongelli-Navigating-the-AI-Paradox.pdf
accesso aperto
Tipologia:
Documento in Pre-print/Submitted manuscript
Licenza:
Creative commons (selezionare)
Dimensione
670.84 kB
Formato
Adobe PDF
|
670.84 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.