23.2.2023
EN
Official Journal of the European Union
L 58/1423 COMMISSION PILOT PROJECTS
CHAPTER PP 02 — EUROPEAN STRATEGIC INVESTMENTS (cont'd) PP 02 23
(cont'd)
PP 02 23 03
(cont'd) — the identification of best practices and the generation of a repository that includes examples of energy efficient design and application that can serve as good practices for businesses. — based on this, the development of guidelines and a methodology for efficient algorithms, which includes best identified data and pre-trained models from the point of view of the rationalisation of the training activity.
The objective is to identify models that reduce energy consumption by balancing the volume of data needed to train a model, the amount of time to train it and the number of iterations to optimise its parameters, reducing its carbon intensity.
Given the fact that currently there is no methodology to calculate and simulate the environmental impact of AI systems or algorithms, this study would set the groundwork for its development and to encourage its rollout. — the development of an ‘energy efficiency and carbon intensity marking’ for AI systems, this is, a marking by which a developer/provider can indicate the carbon footprint of an AI system calculated by estimating the power consumption of the algorithms training and execution, including the disclosure of information about the energy source and the use of renewable energies.
This marking would need the definition of minimum standards and an efficiency scale, as well as a methodology and procedure for the disclosure of the information. — based on the ‘energy efficiency and carbon intensity marking’, the development of a ‘green AI label’, namely a label by which the less carbon intensive and most energy efficient AI systems are recognised and that promotes the techniques and procedures used for a better efficiency.
— the identification of other incentivising solutions as the definition of indicators to measure the level of sustainability of AI and the use of sustainability as an assessment criterion in public procurement. — the design and implementation of a dissemination campaign to highlight the results obtained with the study, which will serve to raise awareness of the potential of the use of green AI as a vector for environmental sustainability.
Legal basis
Pilot project within the meaning of Article 58(2) of Regulation (EU, Euratom) 2018/1046 of the European Parliament and of the Council of 18 July 2018 on the financial rules applicable to the general budget of the Union, amending Regulations (EU) No 1296/2013, (EU) No 1301/2013, (EU) No 1303/2013, (EU) No 1304/2013, (EU) No 1309/ 2013, (EU) No 1316/2013, (EU) No 223/2014, (EU) No 283/2014, and Decision No 541/2014/EU and repealing Regulation (EU, Euratom) No 966/2012 (OJ L 193, 30.7.2018, p. 1).
PP 02 23 04
Pilot project — Development of interoperability tools in the digital single market
Figures (Differentiated appropriations) Appropriations 2023 Commitments
400 000
Appropriations 2022
Payments
100 000
Commitments
Payments
Outturn 2021 Commitments
Payments