The Economic, Social and Environmental Council (CESE) proposes a series of measures to guide the integration of Artificial Intelligence (AI) in a environmental sustainability approach. Based on precise indicators and evaluation methods, these recommendations aim to reduce the ecological footprint of AI technologies. From the eco-design of AI systems to the monitoring and protection of biodiversity, these areas pave the way for a frugal AI in service of ecological balance.
Artificial intelligence (AI) has the capacity to radically transform our societies and environment. To ensure it aligns with ecological goals, the Economic, Social and Environmental Council (CESE) advocates several action areas. These recommendations include the development of an environmental assessment of AI, based on specific indicators and methods, as well as the promotion of an eco-design for AI systems. The proposals also address concepts such as AI score to quantify the environmental performance of smart technologies.
AI offers promising possibilities for the inventory of plant and animal species, as well as for the optimization of energy networks. However, it is crucial to take into account the environmental risks associated with its design, training, and use. Through measures like those stemming from COP 21 for AI, emphasis is placed on the role this technology can play in reducing carbon footprint and adapting to climate change.
An artificial intelligence serving the environment
Since its emergence, artificial intelligence (AI) has disrupted our daily lives. Its applications are countless, but with this digital revolution come environmental challenges. The Economic, Social and Environmental Council (CESE) proposes a series of recommendations for a more planet-friendly AI. It is crucial to rethink the design, training, and use models of smart systems to reduce their ecological footprint.
Recommendations for an ecological and sustainable AI
During the COP 21 for AI, proposals such as eco-design and the creation of an AI Score were highlighted. These initiatives aim to promote a more frugal and ethical use of AI. At the same time, the CESE recommends the establishment of an environmental assessment system for AIs, consisting of precise indicators. This approach would allow for better measurement of the ecological impact of each intelligent system and adjustment of practices accordingly.
Concrete examples of ecological AI
The contributions of AI to sustainability are diverse. For example, AI can help create detailed inventories of plant and animal species, thereby contributing to the protection of biodiversity. Furthermore, it optimizes energy networks for better integration of renewable energies, promoting a more efficient and sustainable management of resources.
Figures such as Mary Barra, a pioneer of autonomous vehicles, illustrate how innovation in AI can lead to more environmentally friendly technologies. These advances remind us that intelligent and well-regulated use of AI is essential for a sustainable future. To learn more about the ecological impact of generative AI, discover this full article.
