From artificial to circular intelligence to support the well-being of our habitat
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917177327616000 |
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| author | Larosa, Francesca Depellegrin, Daniel Conte, Andrea Molinari, Marco Santato, Silvia Wickberg, Adam Mallor, Fermin Sperotto, Anna |
| author_facet | Larosa, Francesca Depellegrin, Daniel Conte, Andrea Molinari, Marco Santato, Silvia Wickberg, Adam Mallor, Fermin Sperotto, Anna |
| contents | The proliferation of machine learning and artificial intelligence redefines the interaction between the anthropogenic and natural elements of our habitat.The use of monitoring tools, processing facilities and the internet of things supports the assessment of planetary health at any given time through automation. However, these data, natural resources and infrastructure intensive technologies are not neutral on the Earth. As the community of AI practitioners works on the creation of tools with minimal socio-environmental impacts, we contribute to the these efforts by proposing a novel conceptual and procedural framework which we call Circular Intelligence or CIntel. CIntel leverages a bottom-up and community-driven approach to learn from the ability of nature to regenerate and adapt. CIntel incorporates ethical principles in its technical design to preserve the stability of the habitat, while also increasing the well-being of its inhabitants by design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_24131 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From artificial to circular intelligence to support the well-being of our habitat Larosa, Francesca Depellegrin, Daniel Conte, Andrea Molinari, Marco Santato, Silvia Wickberg, Adam Mallor, Fermin Sperotto, Anna Computers and Society The proliferation of machine learning and artificial intelligence redefines the interaction between the anthropogenic and natural elements of our habitat.The use of monitoring tools, processing facilities and the internet of things supports the assessment of planetary health at any given time through automation. However, these data, natural resources and infrastructure intensive technologies are not neutral on the Earth. As the community of AI practitioners works on the creation of tools with minimal socio-environmental impacts, we contribute to the these efforts by proposing a novel conceptual and procedural framework which we call Circular Intelligence or CIntel. CIntel leverages a bottom-up and community-driven approach to learn from the ability of nature to regenerate and adapt. CIntel incorporates ethical principles in its technical design to preserve the stability of the habitat, while also increasing the well-being of its inhabitants by design. |
| title | From artificial to circular intelligence to support the well-being of our habitat |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2512.24131 |