Fraisl, Dilek;
See, Linda;
Fritz, Steffen;
Haklay (Muki), Mordechai;
McCallum, Ian;
(2024)
Leveraging the collaborative power of AI and citizen science for sustainable development.
Nature Sustainability
10.1038/s41893-024-01489-2.
(In press).
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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.
| Type: | Article |
|---|---|
| Title: | Leveraging the collaborative power of AI and citizen science for sustainable development |
| DOI: | 10.1038/s41893-024-01489-2 |
| Publisher version: | https://doi.org/10.1038/s41893-024-01489-2 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10204169 |
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