Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking

Q2 Environmental Science
Muhammad Adnan , Baohua Xiao , Muhammad Ubaid Ali , Shaheen Bibi , Hong Yu , Peiwen Xiao , Peng Zhao , Haiyan Wang , Xianjin An
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引用次数: 0

Abstract

Artificial intelligence (AI) is an umbrella term for a wide range of machine intelligence systems that can replicate the behavior of humans. AI and Big Data have emerged as defining characteristics of the fourth industrial revolution (IR). AI has developed tools. Because of the novelty, the investigation of IR, AI, and their environmental effects is still in the early stages of exploration. This study investigates how IR and AI affect human and environmental health and also discusses IR, AI, machine-human ideas, innovation, and AI's environmental benefits, further examines the challenges of these innovations, and recommends additional studies to explain their progress. As a result, the application of AI technology in environmental management, particularly concerning pollution, has become a significant advancement in reshaping our approach to monitoring the environment. Numerous countries are reaping substantial advantages by integrating AI in creating, executing, and assessing measures to address environmental degradation. These innovations can yield societal advantages and contribute to achieving the Sustainable Development Goals (SDGs) 2030; unfortunately, it is important to acknowledge that these benefits may not align well with environmental sustainability objectives, and the increasing number of electronic gadgets presents an additional concern. Conducting future research is crucial to investigate the growing prevalence of electronic devices utilized for AI, its potential ramifications for the future trajectory of climate change, and the approaches being taken to address the issue. Future research should prioritize conducting lifecycle environmental impact analyses, developing sustainable AI hardware, optimizing renewable energy usage, advancing climate modeling techniques, finding effective solutions for managing e-waste, utilizing AI for environmental monitoring and protection, conducting socio-environmental impact studies, developing policies and regulations, creating energy-efficient AI algorithms, and integrating circular economy principles to ensure that AI advancements align with environmental sustainability.

Abstract Image

人类发明及其环境挑战,尤其是人工智能:新挑战需要新思维
人工智能(AI)是一系列能够复制人类行为的机器智能系统的总称。人工智能和大数据已成为第四次工业革命(IR)的决定性特征。人工智能已开发出工具。由于其新颖性,对 IR、AI 及其环境影响的研究仍处于早期探索阶段。本研究调查了 IR 和人工智能如何影响人类和环境健康,还讨论了 IR、人工智能、机器-人类思想、创新和人工智能的环境效益,进一步研究了这些创新所面临的挑战,并建议开展更多研究来解释其进展。因此,人工智能技术在环境管理方面的应用,尤其是在污染方面的应用,已成为重塑环境监测方法的一大进步。许多国家正在通过将人工智能整合到创建、执行和评估措施中来解决环境退化问题,从而获得巨大优势。这些创新可以产生社会优势,并有助于实现 2030 年可持续发展目标(SDGs);遗憾的是,我们必须承认,这些优势可能与环境可持续发展目标并不一致,而且越来越多的电子产品也带来了额外的担忧。未来的研究对于调查人工智能电子设备的日益普及、其对未来气候变化轨迹的潜在影响以及解决这一问题的方法至关重要。未来的研究应优先开展生命周期环境影响分析、开发可持续的人工智能硬件、优化可再生能源的使用、推进气候建模技术、找到管理电子垃圾的有效解决方案、利用人工智能进行环境监测和保护、开展社会环境影响研究、制定政策和法规、创建节能的人工智能算法,以及整合循环经济原则,以确保人工智能的进步与环境的可持续发展相一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
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