Harnessing generative artificial intelligence to support nature‐based solutions

Daniel Richards, David Worden, Xiaoping Song, Sandra Lavorel
{"title":"Harnessing generative artificial intelligence to support nature‐based solutions","authors":"Daniel Richards, David Worden, Xiaoping Song, Sandra Lavorel","doi":"10.1002/pan3.10622","DOIUrl":null,"url":null,"abstract":"\n\n\nThe ongoing biodiversity and climate change crises require society to adopt nature‐based solutions that integrate and enhance ecosystems. To achieve successful implementation of nature‐based solutions, it is vital to communicate scientific information about their benefits and suitability.\n\nThis article explores the potential of generative artificial intelligence (GenAI) as a tool for automating and scaling up science communication, outreach, and extension for nature‐based solutions.\n\nTo illustrate the potential of GenAI, we present three case study examples; (1) reporting scientific information on ecosystem services, future land use options, and nature‐based solutions for farms (2) interactively providing guidance in response to homeowner questions about biodiversity‐friendly garden design and (3) visualising potential future scenarios of landscape change that incorporate diverse nature based and technological solutions. These examples demonstrate potential applications which may be relevant to other systems and types of nature‐based solutions.\n\nWhile GenAI for nature‐based solutions offers significant opportunities, this new technology brings risks of bias, false information, data privacy, mistrust, and high energy usage. Alongside technological development, we require integrated social research into ethics, public acceptability, and user experience, to maximise the benefits of GenAI while limiting these risks.\n\nGenAI offers an opportunity to accelerate the dissemination of nature‐based design strategies and reach a broader audience, by synthesising information and producing tailored content for specific users and locations. By harnessing the power of GenAI alongside human expertise, we can support nature‐based solutions to tackle the complex challenges of future sustainability.\n\nRead the free Plain Language Summary for this article on the Journal blog.","PeriodicalId":508650,"journal":{"name":"People and Nature","volume":"29 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"People and Nature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/pan3.10622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The ongoing biodiversity and climate change crises require society to adopt nature‐based solutions that integrate and enhance ecosystems. To achieve successful implementation of nature‐based solutions, it is vital to communicate scientific information about their benefits and suitability. This article explores the potential of generative artificial intelligence (GenAI) as a tool for automating and scaling up science communication, outreach, and extension for nature‐based solutions. To illustrate the potential of GenAI, we present three case study examples; (1) reporting scientific information on ecosystem services, future land use options, and nature‐based solutions for farms (2) interactively providing guidance in response to homeowner questions about biodiversity‐friendly garden design and (3) visualising potential future scenarios of landscape change that incorporate diverse nature based and technological solutions. These examples demonstrate potential applications which may be relevant to other systems and types of nature‐based solutions. While GenAI for nature‐based solutions offers significant opportunities, this new technology brings risks of bias, false information, data privacy, mistrust, and high energy usage. Alongside technological development, we require integrated social research into ethics, public acceptability, and user experience, to maximise the benefits of GenAI while limiting these risks. GenAI offers an opportunity to accelerate the dissemination of nature‐based design strategies and reach a broader audience, by synthesising information and producing tailored content for specific users and locations. By harnessing the power of GenAI alongside human expertise, we can support nature‐based solutions to tackle the complex challenges of future sustainability. Read the free Plain Language Summary for this article on the Journal blog.
利用人工智能支持基于自然的解决方案
当前的生物多样性和气候变化危机要求社会采用基于自然的解决方案,整合并加强生态系统。本文探讨了生成式人工智能(GenAI)作为一种工具的潜力,以实现基于自然的解决方案的科学交流、外联和推广的自动化和规模化。为了说明 GenAI 的潜力,我们介绍了三个案例研究示例:(1)报告生态系统服务、未来土地利用方案和农场基于自然的解决方案的科学信息;(2)针对房主提出的有关生物多样性友好型花园设计的问题,以互动方式提供指导;(3)可视化景观变化的潜在未来情景,其中包含多种基于自然的技术解决方案。虽然 GenAI 为基于自然的解决方案提供了重大机遇,但这项新技术也带来了偏见、虚假信息、数据隐私、不信任和高能耗等风险。在技术发展的同时,我们需要对伦理、公众接受度和用户体验进行综合的社会研究,以最大限度地发挥GenAI的优势,同时限制这些风险。GenAI通过综合信息并为特定用户和地点制作量身定制的内容,为加速传播基于自然的设计策略和接触更广泛的受众提供了机会。通过利用 GenAI 的力量和人类的专业知识,我们可以支持基于自然的解决方案,以应对未来可持续发展的复杂挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信