Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Haklay, M., & McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 (2024). Leveraging the collaborative power of AI and citizen science for sustainable development. Nature Sustainability 10.1038/s41893-024-01489-2.
Full text not available from this repository.Abstract
Both artificial intelligence (AI) and citizen science hold immense potential for addressing major sustainability challenges from health to climate change. Alongside their individual benefits, when combined, they offer considerable synergies that can aid in both better monitoring of, and achieving, sustainable development. While AI has already been integrated into citizen science projects such as through automated classification and identification, the integration of citizen science approaches into AI is lacking. This integration has, however, the potential to address some of the major challenges associated with AI such as social bias, which could accelerate progress towards achieving sustainable development.
Item Type: | Article |
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Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES) Strategic Initiatives (SI) |
Depositing User: | Luke Kirwan |
Date Deposited: | 16 Dec 2024 15:49 |
Last Modified: | 20 Dec 2024 10:01 |
URI: | https://pure.iiasa.ac.at/20189 |
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