FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380028452> ?p ?o ?g. }

• W4380028452 endingPage "102165" @default.
• W4380028452 startingPage "102165" @default.
• W4380028452 abstract "The impact of artificial intelligence (AI) on the environment is the subject of discourse, with arguments for both positive and negative effects. There is a fine line between AI for good and AI for environmental degradation. Today, companies want to seize the benefits of AI, which distinctively involves reducing the company's carbon footprint. However, AI's carbon emissions differ as per the techniques involved in training it. As the saying goes, a coin always has two sides. Therefore, it cannot be denied that AI can be an effective tool for combating climate change, but its role in contributing to carbon emissions cannot be ignored. Multiple studies indicate that AI could be the game-changer in staving off anthropogenic climatic changes due to the deterioration of the environment and global warming. This double-edged relationship and interdependency of AI and carbon emissions are represented through a system of systems (SoS) approach. SoS states that a plan is created through multiple smaller systems, creating complexity in the design and vice versa. A complex system can be assumed as the world in general, where two individual independent systems AI and carbon emissions, when in interaction, create a complex complementary and contradictory relation, adding to the convolution of the system. This connection is demonstrated by conducting a network analysis and calculating the carbon emissions of six machine learning (ML) algorithms and deep learning (DL) models with different datasets but the same hyperparameters on a carbon emission calculator created through AI algorithms. The primary idea of this study is to encourage the AI society to create efficient AI models that may be used without compromising environmental issues. The focus should be on practicing sustainable AI, that is, sustainability from data collection to model deployment, throughout the lifecycle of AI." @default.
• W4380028452 created "2023-06-10" @default.
• W4380028452 creator A5048991827 @default.
• W4380028452 creator A5055336927 @default.
• W4380028452 creator A5071070019 @default.
• W4380028452 creator A5085316971 @default.
• W4380028452 date "2023-09-01" @default.
• W4380028452 modified "2023-10-16" @default.
• W4380028452 title "Artificial intelligence for carbon emissions using system of systems theory" @default.
• W4380028452 cites W1993566360 @default.
• W4380028452 cites W2608806033 @default.
• W4380028452 cites W2620201215 @default.
• W4380028452 cites W2891182582 @default.
• W4380028452 cites W2894013570 @default.
• W4380028452 cites W2905186299 @default.
• W4380028452 cites W2910540915 @default.
• W4380028452 cites W2911964244 @default.
• W4380028452 cites W2950791795 @default.
• W4380028452 cites W2954505511 @default.
• W4380028452 cites W3000603264 @default.
• W4380028452 cites W3011707748 @default.
• W4380028452 cites W3020807179 @default.
• W4380028452 cites W3026378761 @default.
• W4380028452 cites W3048650942 @default.
• W4380028452 cites W3048804154 @default.
• W4380028452 cites W3082044521 @default.
• W4380028452 cites W3093500471 @default.
• W4380028452 cites W3115559228 @default.
• W4380028452 cites W3117353628 @default.
• W4380028452 cites W3118651707 @default.
• W4380028452 cites W3118831975 @default.
• W4380028452 cites W3120783657 @default.
• W4380028452 cites W3135539146 @default.
• W4380028452 cites W3141733282 @default.
• W4380028452 cites W3160021881 @default.
• W4380028452 cites W3193375894 @default.
• W4380028452 cites W3194522055 @default.
• W4380028452 cites W3202022212 @default.
• W4380028452 cites W3204504767 @default.
• W4380028452 cites W3204655310 @default.
• W4380028452 cites W3213764047 @default.
• W4380028452 cites W3214897310 @default.
• W4380028452 cites W3216752040 @default.
• W4380028452 cites W4220801098 @default.
• W4380028452 cites W4223456530 @default.
• W4380028452 cites W4281762874 @default.
• W4380028452 cites W4282596202 @default.
• W4380028452 cites W4283704460 @default.
• W4380028452 cites W4286358002 @default.
• W4380028452 cites W4290465941 @default.
• W4380028452 cites W4294676055 @default.
• W4380028452 cites W4296513054 @default.
• W4380028452 cites W4308430177 @default.
• W4380028452 cites W4312220607 @default.
• W4380028452 doi "https://doi.org/10.1016/j.ecoinf.2023.102165" @default.
• W4380028452 hasPublicationYear "2023" @default.
• W4380028452 type Work @default.
• W4380028452 citedByCount "4" @default.
• W4380028452 countsByYear W43800284522023 @default.
• W4380028452 crossrefType "journal-article" @default.
• W4380028452 hasAuthorship W4380028452A5048991827 @default.
• W4380028452 hasAuthorship W4380028452A5055336927 @default.
• W4380028452 hasAuthorship W4380028452A5071070019 @default.
• W4380028452 hasAuthorship W4380028452A5085316971 @default.
• W4380028452 hasConcept C104779481 @default.
• W4380028452 hasConcept C11413529 @default.
• W4380028452 hasConcept C115343472 @default.
• W4380028452 hasConcept C119857082 @default.
• W4380028452 hasConcept C132651083 @default.
• W4380028452 hasConcept C140205800 @default.
• W4380028452 hasConcept C154945302 @default.
• W4380028452 hasConcept C17744445 @default.
• W4380028452 hasConcept C185874996 @default.
• W4380028452 hasConcept C18903297 @default.
• W4380028452 hasConcept C199539241 @default.
• W4380028452 hasConcept C2780936489 @default.
• W4380028452 hasConcept C41008148 @default.
• W4380028452 hasConcept C47737302 @default.
• W4380028452 hasConcept C86803240 @default.
• W4380028452 hasConceptScore W4380028452C104779481 @default.
• W4380028452 hasConceptScore W4380028452C11413529 @default.
• W4380028452 hasConceptScore W4380028452C115343472 @default.
• W4380028452 hasConceptScore W4380028452C119857082 @default.
• W4380028452 hasConceptScore W4380028452C132651083 @default.
• W4380028452 hasConceptScore W4380028452C140205800 @default.
• W4380028452 hasConceptScore W4380028452C154945302 @default.
• W4380028452 hasConceptScore W4380028452C17744445 @default.
• W4380028452 hasConceptScore W4380028452C185874996 @default.
• W4380028452 hasConceptScore W4380028452C18903297 @default.
• W4380028452 hasConceptScore W4380028452C199539241 @default.
• W4380028452 hasConceptScore W4380028452C2780936489 @default.
• W4380028452 hasConceptScore W4380028452C41008148 @default.
• W4380028452 hasConceptScore W4380028452C47737302 @default.
• W4380028452 hasConceptScore W4380028452C86803240 @default.
• W4380028452 hasLocation W43800284521 @default.
• W4380028452 hasOpenAccess W4380028452 @default.
• W4380028452 hasPrimaryLocation W43800284521 @default.
• W4380028452 hasRelatedWork W2057603871 @default.

• next