ARTIFICIAL INTELLIGENCE IN SUSTAINABLE DEVELOPMENT: A STUDY ON HOW AI SUPPORTS SUSTAINABILITY PRETENSIONS.
DOI:
https://doi.org/10.65009/4q9wep68Keywords:
Artificial Intelligence, Sustainable Development, SDGs, Smart Agriculture, Climate Change, Responsible AI. preface,,Abstract
Artificial Intelligence(AI) is an important technology that can help break numerous global
challenges. It plays an important part in achieving sustainable development by supporting
environmental protection, perfecting social well- being, and promoting profitable growth.
This paper explains how AI helps in areas similar as climate change prediction, smart energy
systems, healthcare, husbandry, and disaster operation. It also discusses challenges like
ethical issues, data sequestration, and high energy consumption. The study concludes that AI
can greatly support sustainable development if it's used responsibly and immorally.
References
United Nations, Transforming Our World: The 2030 Agenda for Sustainable
Development, New York, NY, USA: UN, 2015.
R. Vinuesa et al., “The role of artificial intelligence in achieving the Sustainable
Development Goals,” Nature Communications, vol. 11, no. 1, p. 233, 2020.
D. Rolnick et al., “Tackling climate change with machine learning,” arXiv
preprint arXiv:1906.05433, 2019.
M. Chui et al., Notes from the AI Frontier: Applications and Value of Deep Learning,
McKinsey Global Institute, 2018.
European Commission, Ethics Guidelines for Trustworthy AI, Brussels, Belgium, 2022.
Food and Agriculture Organization, The State of Food and Agriculture 2022, Rome,
Italy: FAO, 2022.
Intergovernmental Panel on Climate Change, Climate Change 2023: Synthesis Report,
Geneva, Switzerland: IPCC, 2023.
World Wildlife Fund, Artificial Intelligence for Conservation, WWF International, 2021.
United Nations Office for Disaster Risk Reduction, Global Assessment Report on
Disaster Risk Reduction, Geneva, Switzerland: UNDRR, 2022.
Z. Obermeyer and T. H. Lee, “Lost in thought—The limits of the human mind and the
future of medicine,” New England Journal of Medicine, vol. 377, no. 13, pp. 1209–1211,
