Procurement Summary
Country : Belgium
Summary : Development of a Study to Measure and Foster Energy Efficient and Low Emission Artificial Intelligence in the Eu
Deadline : 23 Sep 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 105286006
Document Ref. No. : 471495-2024
Competition : ICB
Financier : European Commission
Purchaser Ownership : Public
Tender Value : EUR 425000
Purchaser's Detail
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Login to see detailsTender Details
Procurement description -explore the current and expected carbon footprint of AI; -develop a measurement framework which could serve as a basis to address the energy related objectives of the AI Act and also to develop a potential AI energy and emission label; -identify the suitable governance and implementation for the measurement framework and; -identify promote energy-efficient and low emission AI best practices through an online repository. Justification: AI has a strong potential to solve environmental problems. However, despite its high potential to the environmental and climate crisis, training and executing algorithms imply high- energy consumption and carbon emissions. This environmental impact will increase overtime as the volume of data transferred and stored and the development of AI applications will continue to grow exponentially in the years to come. This study supports the understanding of the issues involved in measuring the environmental impact of the use of AI while identifying possible approaches to incentivising the use of green AI by developers mitigating it.
Doc Title: Development of a study to measure and foster energy efficient and low emission artificial intelligence in the EU
Contract Type: services
Document Type: Contract Notice
Reference Number: EC-CNECT/2024/OP/0066
Contract Type: services
Estimated Value: 425000 - EUR
Authority Type: eu-ins-bod-ag
Doc Title: Development of a study to measure and foster energy efficient and low emission artificial intelligence in the EU
Dispatch Date: 2024-08-05
Publish Date: 2024-08-06
Submission Date: 2024-09-23
Documents
Tender Notice
105286006BID.zip