Green AI x AI for Green Observatory | Use cases with a positive balance, reference frameworks for best practices and measurement
The current context of AI is marked by a strong tension between its potential and its environmental cost. There is an urgent need to quantify this impact, while fighting against greenwashing. The solutions lie in a combined approach: sustainable IT development (frugality, eco-design), standardisation, education for sobriety, increased transparency, and balanced assessment of use cases (negative impacts vs. potential benefits, including environmental ones). This observatory, Green AI x AI for Green, aims to clarify best practices and provide a reference framework for positive uses of AI. It is a tool intended for AI project leaders (IT and business teams) to help them to understand and clarify AI environmental issues, and to implement or adjust their projects to ensure they have a positive environmental impact.
Context
Discussions with professionals reveal a central concern about the environmental impact of AI systems, particularly those of the new generation (IAGen, LLMs, Machine Learning, Deep Learning, etc.). They also express an urgent need for transparency and measurement, as well as for identifying strategies to reduce and optimise the AI systems used (‘Green AI’). They highlight the importance of education and awareness on the subject. The duality of AI is striking: it is both a problem and a solution (‘AI for Green’).
Needs
Organisations have clear needs to navigate the complex landscape of AI's environmental impact. They are looking for clarity, concrete tools and agnostic justification of value.
Needs are clearly identified:
✅ Having a strategic vision and an impartial guide.
✅ Requiring proof of value and validation (positive use cases).
✅ Relying on standards and guidelines.
✅ Searching for impartial information.
✅ Having a global vision that takes into account the savings achieved and the impacts avoided.
How can AdVaes help you?
💡 AdVaes' Green AI x AI for Green observatory aims to analyse the strategic challenges of AI use in B2B, particularly large models, and the impacts and contributions identified in order to determine the overall results.
➕ Our ambition: to analyse more than 50 AI platforms and use cases, present use cases and develop a decision-making tool with metrics.
Find out more
👉 Make an appointment to learn more about the call for contributions and find out the specifications: ask [@] advaes.com.
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