Concept, Principles and Tasks of Artificial Intelligence in Environmental Law
DOI:
https://doi.org/10.47451/jur2025-04-02Keywords:
environmental policy, climate change, emissions monitoring, sustainable development, artificial intelligenceAbstract
This article examines the legal aspects of using artificial intelligence in environmental law and its areas. The principles and tasks of artificial intelligence for improving the environmental protection system are analysed, as well as the opportunities and benefits that can be obtained with the help of artificial intelligence in climate change, energy, biodiversity protection, waste management, etc. The study object is the social relations connected with using artificial intelligence in environmental protection and sustainable development. The study subject is international and European legislation that regulates the use of artificial intelligence in environmental relations. The study aims to analyse artificial intelligence’s concepts, principles and tasks in environmental law. To implement the study, the ideas of foreign scientists were analyzed, namely Nehwal Ch., Piyselman M., Lytvynets V., Gomez Ch., Lhoumeau S., Pinelo J., Borges P., who considered individual aspects of the use of artificial intelligence in environmental protection and agriculture. It was determined that the EU has already developed strategies related to the need to use artificial intelligence, particularly to implement the environmental goals of the EU climate policy. The study concluded that it is necessary to develop legal and ethical principles for using artificial intelligence in environmental law.
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References
Directive 2008/98/EC on waste: The European Parliament and Council. Official Journal of the EU. L 312/3. 19.11.2008. https://eur-lex.europa.eu/eli/dir/2008/98/oj/eng
Forging a climate-resilient Europe—the new EU Strategy on Adaptation to Climate Change: Communication from the Commission to the European Parliament. No. 2021/82, dated February 24, 2021. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2021:82:FIN
Fox, S. (2024a). Artificial Intelligence: Definition and Basic Principles of Operation. Mediacom. (In Ukr.). https://mediacom.com.ua/shtuchnyy-intelekt-vyznachennya-ta-osnovni-pryntsypy-roboty/
Fox, S. (2024b). Six technologies helping save the planet—how AI and ecology can cooperate for the benefit of our Earth. Mediacom. (In Ukr.). https://mediacom.com.ua/shi-ta-ekologiya-yak-texnologiya-mozhe-vryatuvati-planetu
Gomes, Ch. & Matushika, J. (2022). Smart Farming Using Artificial Intelligence. The Internet of Things and Robotics: A Comprehensive Review. In Kose, U., Prasath, V. B., Mondal, M., Podder P., & Bharati, S. (Eds.). Artificial Intelligence and smart agriculture technology (pp. 1–18). New York: Auerbach Publications. https://doi.org/10.1201/9781003299059
How artificial intelligence is helping tackle environmental challenges. (2022, November 7). United Nations Environment Programme. https://www.unep.org/news-and-stories/story/how-artificial-intelligence-helping-tackle-environmental-challenges
Lhoumeau, S., Pinelo, J., & Borges, P. (2025). Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series. Ecological Indicators, 171, 113–119. https://www.sciencedirect.com/science/article/pii/S1470160X25000482
Newal, Ch. (2023). AI and the fight against climate change: Opportunities and challenges for environmental law. International Journal of Law Management and Humanities, 6(4), 390–398.
Olawade, D., Usman, S., & Ajisafe, O. (2024). Smart waste management: a paradigm shift enabled by artificial intelligence. Waste Management Bulletin, 2, 244–263. https://doi.org/10.1016/j.wmb.2024.05.001
Pijselman, M., & Litvinets, V. (2024). AI and Sustainability: Opportunities, Challenges and Impact. EY Transformation. https://www.ey.com/en_nl/insights/climate-change-sustainability-services/ai-and-sustainability-opportunities-challenges-and-impact
Regulation EU 2024/1689 on Artificial Intelligence: The European Parliament and the Council. (2024, June 13). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32024R1689
Revolutionizing waste management: the role of AI in building sustainable practices. (2024, May 7). AI for Good. https://aiforgood.itu.int/revolutionizing-waste-management-the-role-of-ai-in-building-sustainable-practices/
Transforming our world: The 2030 Agenda for Sustainable Development: General Assembly (2015, October 21). United Nations. https://docs.un.org/en/A/RES/70/1
UN Future Summit: CODES Side Event on Digital Sustainability and AI for the Global Digital Compact: UN Development Agenda. (2024). International Science Council. (In Ukr.). [Саміт ООН майбутнього: додаткова подія CODES, присвячена цифровій екологічній стійкості та ШІ для глобального цифрового договору // Міжнародна наукова рада. Вересень 2024]. https://uk.council.science/events/summit-of-the-future-2024/codes-side-event-digital-environmental-sustainability/
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