The use of artificial intelligence in environmental protection
DOI:
https://doi.org/10.26881/gsp.2023.4.18Keywords:
environmental protection, artificial intelligence, data analytics, artificial intelligence lawAbstract
Artificial intelligence (AI) enters everyday life and becomes an indispensable tool for development in many areas of private, professional and economic life. In this sense, one of the sectors where AI can have a significant impact is the environmental sector. AI is the field of computer science that deals with the creation of programmes and systems that exhibit some degree of intelligence, such as image recognition, natural language understanding, planning, decisionmaking or experiential learning. Artificial intelligence uses technologies such as neural networks, machine learning, natural language processing, robotics or computer graphics, among others. It is necessary to establish a legal framework to regulate the use of artificial intelligence in various fields such as medicine, industry, transport, security, public administration or the financial market. The aim of artificial intelligence law is to ensure safety, ethics and compliance with existing regulations in artificial intelligence applications, as well as to protect privacy and consumer rights. In particular, these are aspects that affect digital transparency and neutral algorithms. Artificial intelligence can also be used in environmental protection. It is also necessary to analyse regulations in this area to support the process of reducing the negative impact of human activities on ecosystems. AI can be used to predict the effects of climate change, monitor and protect various ecosystems, optimise energy consumption or reduce emissions of harmful substances. As part of the law of artificial intelligence in environmental protection, in addition to ensuring the compliance with existing legislation, special regulations may be introduced for the use of AI, such as the mandatory use of AI in the environmental impact assessment process before the start of new industrial projects or the requirement for large companies to monitor greenhouse gas emissions using advanced AI systems.
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