1 Scope
This document provides a description of the main environmental
sustainability issues that organisations or individuals that
are developing and/or using Artificial Intelligence
(AI) consider, in particular, in
the context of the European energy systems and resources.
It is important to have a focus where AI helps in optimization and virtual deployment of
engineering solutions [1], especially in Europe with limited natural resources. This document
reviews the European AI landscape, with a context of
environmental sustainability. This is addressed with a
focus on European-specific aspects of AI demands
for resources, as well as its potential to contribute to environmental
sustainability in Europe [2]. The document creates an inventory of
impacts and techniques to support environmentally sustainable use of
AI, and an equitable access to computation resources.
Suggested improvements in AI resource
management are focused on:
-
• reduction of the operational AI energy consumption (see section 5)
-
• reduction of other AI resource consumption (water, etc.) (see section 6)
The document also considers the potential benefits of using
AI from a sustainability perspective. Methods of measuring
the environmental sustainability impacts of AI are also quantified.
This document is intended to help with the development of new
standards and complement existing European standards and standardization
deliverables that define resource measurement for the use of AI. It describes best practices and indicates which
techniques and management processes for improvement of AI resource performance and environmental viability. The
document is expected to contribute to voluntary corporate social responsibility
(CSR) in Europe, and increase
sustainability awareness for individuals when designing, developing, and using
AI. The aim is to create a focus on the responsible use of
AI that prioritizes ethical considerations, human values,
and an understanding of the social implications of AI design and
use.
The document is aligned with equivalent activities in
ISO/IEC/JTC 1/SC42/WG4, TR 20226 “Green and Sustainable AI”, but takes into account specific aspects of the
European energy system that are not applicable elsewhere. In particular,
sustainable energy supply provided via the European interconnectors will be
taken into account when assessing AI carbon
footprint. Additionally AI solutions for the optimization
of energy use will be reviewed and quantified to balance the energy use of
AI applications and services which make extensive use of
energy. This report also identifies and addresses the United Nations Sustainable
Development Goals [3,
4]. Additionally,
this document aligns with ISO/IEC DIS 21031 Information Technology
– Software Carbon Intensity (SCI) [5], ISO/DIS 59004Circular Economy – Terminology, Principles and Guidance for
Implementation, and the Greenhouse Gas Protocol (GHG), Product Life
Cycle Accounting and Reporting Standard [6].
The upcoming EU AI Act in its current draft
encourages voluntary assessment of companies for environmental
sustainability.