在生态系统服务和数字经济的法律诉讼中使用人工智能算法

Q3 Agricultural and Biological Sciences caspian journal of environmental sciences Pub Date : 2020-12-01 DOI:10.22124/CJES.2020.4490
D. Valeev, A. G. Nuriev, N. Makolkin
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引用次数: 1

摘要

机器学习算法可以允许使用频繁可用的“大数据”,并有助于利用跨尺度的生态系统服务模型,检查和预测这些服务对分类受益人的问题。公共关系的数字化涉及到信息处理方式和感知速度的改变。数字资源的引入导致了许多流程的自动化,这些流程以前是由人工执行的,需要大量的时间。在生产中开始的科学技术方法的成果的实际实施达到了人工智能似乎无法实现的一些领域。规范性监管必须考虑到使用人工智能算法的需要。特别关注的是在司法管理和生态系统服务中使用这种算法的可能性。
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Using artificial intelligence algorithms in legal proceedings in the ecosystem services and digital economy
Machine learning algorithms can permit the usage of frequently available 'big data' and contribute to utilizing ecosystem service models across scales, examining and predicting the issues of these services to disaggregated beneficiaries. Digitalization of public relations involves changing the way of processing information and the speed of its perception. The introduction of digital resources leads to the automation of a number of processes that were previously executed by people and required a significant amount of time. The practical implementation of the achievements of the scientific and technical method that was started in production reaches some spheres that seemed unachievable for artificial intelligence. Normative regulation has to take into account the need to use artificial intelligence algorithms. A particular interest is paid to the possibility of using such algorithms in the administration of justice as well as ecosystem services.
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来源期刊
caspian journal of environmental sciences
caspian journal of environmental sciences Environmental Science-Environmental Science (all)
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
5 weeks
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