Strategies for Building an Intelligent Law Enforcement System for Ecological Environment. (English)

Accelerating the construction of an intelligent law enforcement system for ecological environment is not only an important foundation for strengthening the rule of law for ecological environment and promoting reform and innovation in ecological environment law enforcement, but also a concrete manifestation of focusing on building a Beautiful China and improving the ecological environment governance system. At present, China is confronted with the practical constraints in accelerating the construction of an intelligent law enforcement system for ecological environment, such as the risks of digital technology application and the insufficiency of intelligent law enforcement resources for ecological environment. Therefore, on the one hand, we should vigorously promote the intelligentization of ecological environment law enforcement. It means that we should constantly improve the scale and level of automation in ecological environment law enforcement by strengthening the combination of weak and strong artificial intelligence applications. We should also effectively address various digital technology application risks in ecological environment law enforcement by strengthening the combination of digital technology application and digital risk management. On the other hand, it is necessary to accelerate the systematization of ecological environment intelligent law enforcement. It means that we should strengthen the construction of key elements required for applying digital technology in ecological environment law enforcement, such as enforcement entities, targets, technologies, equipment, systems, culture, guarantees, etc. Meanwhile, we should enhance the application of digital technology to the construction of various law enforcement processes such as information collection and processing, monitoring and monitoring, punishment decision-making, evaluation and assessment, supervision and accountability. [ABSTRACT FROM AUTHOR]

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