Scholarly record
USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES TO ACHIEVE THE GOALS OF ENVIRONMENTALLY SUSTAINABLE DEVELOPMENT
Abstract
This article aims to develop a concept for utilizing artificial intelligence (AI) technologies to achieve environmentally sustainable development goals, leveraging a suite of technologies for environmental protection and natural resource management in the digital age. The study employs risk-oriented approaches, system analysis, and modeling to explore the application of AI in attaining environmental sustainability objectives. Research Results: 1.The study presents an analysis of AI technologies applied to achieving environmentally sustainable development goals. 2. It formulates a concept for the role of AI in ensuring these goals are met. The research highlights AI's emerging role as a crucial tool in achieving sustainable development goals (SDGs). It underscores the importance of exploring innovative AI approaches to sustainable development. AI's capability to integrate vast datasets, such as satellite imagery, sensor data, and social media inputs, is proven to facilitate the creation of complex models and forecasts. Deep learning techniques are applied to analyze intricate environmental data, including climate change modeling, pollution detection, and biodiversity monitoring. Additionally, AI is used to develop intelligent ecosystem management systems that can adapt in real-time to environmental changes. The study addresses key challenges and opportunities for advancing the use of AI technologies in achieving environmentally sustainable development goals. AI holds significant potential to accelerate progress toward the SDGs, although it necessitates careful consideration of associated risks and challenges.
Publication Impact Profile
- Captures
- Mendeley - Readers: 5
Publication details
References5
. Bostrom Nick. Superintelligence. Strategies and dangers of the development of smart machines / translated from English by Anton Yashchuk, Antonina Yashchuk. Kyiv: Our format, 2020. 408 p.
. Voronkova, V., Nikitenko, V., Oleksenko, R., Andriukaitiene, R., Kharchenko, J., Kliuienko, E. (2023). Digital technology evolution of the industrial revolution from 4G to 5G in the context of the challenges of digital globalization. TEM Journal, 12(2), 732-742. DOI: 10.18421/tem122-17
. Klopov, I., Shapurov, O., Voronkova, V., Nikitenko, V., Oleksenko, R., Khavina, I., Chebakova, Y. (2023). Digital Transformation of Education Based on Artificial Intelligence. TEM Journal, 12(4), 2625. DOI: 10.18421/tem124-74
. Concept of the State Targeted Scientific and Technical Programme for the Use of Artificial Intelligence Technologies in Priority Sectors of the Economy for the Period up to 2026 zakon.rada.gov.ua/laws/show/320-2024-%D1%80#Text DOI: 10.24919/2308-4863/82-1-47
. Metelenko, N., Klopov, I., Voronkova, V., Nikitenko, V., Oleksenko, R., Brytvienko, A., & Runcheva, N. Development of Flexible Management Structures in the Context of Digital Transformation of INDUSTRY 5G. Review of Economics and Finance, 2023, 21, 2052-2060.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.