NA 043

DIN Standards Committee Information Technology and IT Applications

Project

Information Technology - Artificial Intelligence - Green and Sustainable AI

Abstract

he proposed document will establish a framework for quantification of environmental impact of AI and its long-term sustainability, and encourage AI developers and users to improve efficiency of AI use. It will also provide a summary of the state of the art of AI technology for direct control and optimisation of energy use in energy systems. The document will provide life-cycle assessment of AI development, deployment and use. Emissions that are produced directly by combustion of fossil fuels are Scope 1 emissions. These are observed in transport system and in fossil-fuel energy generators, and the like. AI may help reduce Scope 1 emissions via smart interventions (demand-side response, optimisation of combustion, etc.) Scope 2 are indirect emissions from electricity use, and AI will play a major role in reducing these emissions. Scope 3 are emissions produced during a life cycle of a technology - these emissions are important in assessment of AI solution and will be in scope of this project. Emissions of Scope 4 are the avoided emissions - AI has great potential in quantifying avoided emissions (carbon savings), and the report will address this as well.

Begin

2023-02-24

WI

JT021010

Planned document number

DIN CEN/TR XXX-JT021010

Project number

04301050

Responsible national committee

NA 043-01-42 GA - DIN/DKE Joint working committee Artificial intelligence  

Responsible european committee

CEN/CLC/JTC 21/WG 4 - Foundational and societal aspects  

Contact

Katharina Sehnert

Am DIN-Platz, Burggrafenstr. 6
10787 Berlin

Tel.: +49 30 2601-2507
Fax: +49 30 2601-42507

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