Leveraging the collaborative power of AI and citizen science for sustainable development

IF 25.7 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Dilek Fraisl, Linda See, Steffen Fritz, Mordechai Haklay (Muki), Ian McCallum
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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. Integrating citizen science into artificial intelligence (AI) can help address major sustainability issues as well as some of the potential drawbacks associated with a wide use of AI. This Perspective highlights the advantages and challenges of such integration in light of achieving sustainable development.

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来源期刊
Nature Sustainability
Nature Sustainability Energy-Renewable Energy, Sustainability and the Environment
CiteScore
41.90
自引率
1.10%
发文量
159
期刊介绍: Nature Sustainability aims to facilitate cross-disciplinary dialogues and bring together research fields that contribute to understanding how we organize our lives in a finite world and the impacts of our actions. Nature Sustainability will not only publish fundamental research but also significant investigations into policies and solutions for ensuring human well-being now and in the future.Its ultimate goal is to address the greatest challenges of our time.
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