The Precarious Pirouette: Artificial Intelligence and Environmental Sustainability

被引:1
|
作者
Manhibi, Ronald [1 ]
Tarisayi, Kudzayi [2 ]
机构
[1] Bindura Univ Sci Educ, Bindura, Zimbabwe
[2] Stellenbosch Univ, Stellenbosch, South Africa
来源
ACTA INFOLOGICA | 2024年 / 8卷 / 01期
关键词
Artificial intelligence; climate change; energy efficiency; carbon emissions; climate justice;
D O I
10.26650/acin.1431443
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The exponential ascension of artificial intelligence (AI) prompts profound inquiries concerning equitable access to its advantages versus environmental externalities. While trailblazing economies relish AI's benefits such as economic expansion and technological eminence, the colossal energy required to train and operate AI systems exacts a hefty toll on the environment, disproportionately burdening marginalized nations. This imbalanced paradigm epitomizes disparities of the digital divide, with impoverished nations bearing externalities while lacking access to innovations. Thisstudy aims to explore the intricate relationship between AI and environmental sus-tainability through a qualitative methodology encompassing a literature review anddocument analysis of industry practices and viewpoints. The findings unveil AI as adouble-edged sword, with empirical analyses exposing its striking carbon emissionsand resource depletion, which if left unchecked, could impede global decarboniza-tion initiatives. However, AI also demonstrates strong potential for optimizing energysystems, predictive modelling, and advancing climate solutions if conscientiouslydeveloped. The study elucidates this conundrum and proposes responsible innova-tion pathways involving renewable energy adoption, enhanced efficiency, optimizedhardware, carbon accounting, transparency, and legislative mindfulness. Integrat-ing climate justice and digital divide perspectives illuminates avenues for steeringAI's trajectory towards environmental stewardship and inclusive accessibility throughproactive collaboration across sectors. Ultimately, collective wisdom will determine whether AI ushers in climate justice or injustice
引用
收藏
页码:51 / 59
页数:9
相关论文
共 50 条
  • [21] Artificial Intelligence Needs Environmental Ethics
    Baum, Seth D.
    Owe, Andrea
    ETHICS POLICY & ENVIRONMENT, 2023, 26 (01) : 139 - 143
  • [22] A Systematic Mapping of Artificial Intelligence Solutions for Sustainability Challenges in Latin America and the Caribbean
    Salas, Joaquin
    Patterson, Genevieve
    Vidal, Flavin de Barros
    IEEE LATIN AMERICA TRANSACTIONS, 2022, 20 (11) : 2312 - 2329
  • [23] Artificial intelligence in agriculture: Advancing crop productivity and sustainability
    Aijaz, Nazish
    Lan, He
    Raza, Tausif
    Yaqub, Muhammad
    Iqbal, Rashid
    Pathan, Muhammad Salman
    JOURNAL OF AGRICULTURE AND FOOD RESEARCH, 2025, 20
  • [24] THE INTERSECTION BETWEEN ARTIFICIAL INTELLIGENCE AND SUSTAINABILITY: CHALLENGES AND OPPORTUNITIES
    Poscic, Ana
    EU AT THE CROSSROADS - WAYS TO PRESERVE DEMOCRACY AND RULE OF LAW, 2024, 8 : 748 - 768
  • [25] The potential role of artificial intelligence in sustainability of nuclear medicine
    Currie, G. M.
    Hawk, K. E.
    Rohren, E. M.
    RADIOGRAPHY, 2024, 30 : S119 - S124
  • [26] Sustainability challenges of artificial intelligence and Citizens' regulatory preferences
    Koenig, Pascal D.
    Wurster, Stefan
    Siewert, Markus B.
    GOVERNMENT INFORMATION QUARTERLY, 2023, 40 (04)
  • [27] Artificial Intelligence Enabling Water Desalination Sustainability Optimization
    Alzu'bi, Shadi
    Alsmirat, Mohammad
    Al-Ayyoub, Mahmoud
    Jararweh, Yaser
    PROCEEDINGS OF 2019 7TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2019, : 922 - 925
  • [28] Technological Sustainability and Artificial Intelligence Algor-ethics
    Mantini, Alessandro
    SUSTAINABILITY, 2022, 14 (06)
  • [29] Should AI be Designed to Save Us From Ourselves?: Artificial Intelligence for Sustainability
    Lahsen, Myanna
    IEEE TECHNOLOGY AND SOCIETY MAGAZINE, 2020, 39 (02) : 60 - 67
  • [30] Comparison of artificial intelligence algorithms to estimate sustainability indicators
    Bienvenido-Huertas, David
    Farinha, Fatima
    Oliveira, Miguel Jose
    Silva, Elisa M. J.
    Lanca, Rui
    SUSTAINABLE CITIES AND SOCIETY, 2020, 63 (63)