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Chapitre D'ouvrage Année : 2024

Artificial Intelligence for Knowledge Management, Energy and Sustainability

Résumé

This paper presents a short introduction to the AI4S workshop, aiming to paint a “big picture” of various interrelated aspects of sustainability and climate change. The connections between energy, agriculture, water, and technology, usually addressed separately, are vital to properly addressing the given challenges. The concern about sustainability and climate change weakly considers, in the debates, the pollution induced by technology and innovation. While technology produces a twofold effect—benefits and waste—the capacity of available technology, and in particular Artificial Intelligence, for solving related complex problems is still underexplored. The knowledge-based AI and connectionist approaches and techniques, combined with adequate thinking, may innovate the way of managing industry, administration, and other contexts, and improve the effectiveness of efforts in sustaining the planet. Knowledge-based AI helps improve the explanation of the results obtained from deep learning. After the introduction, which aims to connect the “dots” between AI, sustainability, and climate actions, this paper briefly presents some contributions of AI to climate actions and comments on the conditions for minimizing the footprint.
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Dates et versions

hal-04614955 , version 1 (17-06-2024)

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Eunika Mercier-Laurent. Artificial Intelligence for Knowledge Management, Energy and Sustainability. Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Abdul Wahid, Karl Mason. Artificial Intelligence for Knowledge Management, Energy and Sustainability, 693, Springer Nature Switzerland, pp.1-10, 2024, IFIP Advances in Information and Communication Technology, 978-3-031-61068-4. ⟨10.1007/978-3-031-61069-1⟩. ⟨hal-04614955⟩

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