Construction of Legal System for Maritime International Trade Financial Supervision Cooperation

Zhuo, Wuyang; Can, Ding; Xiong, Yan; Peng, Jing

doi:10.2112/si103-030.1

Cited by 6 publications

(4 citation statements)

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“…In the actual governance of the country, that is, it is necessary to always take the people's mastery as the basis for all work, actively improve and perfect the legal system, pay attention to the integrity and enrichment of the democratic system and democratic forms, and give full play to the advantages of the socialist political system. Therefore, the rule of law needs to be based on the law to distribute the rights and interests enjoyed and burdens borne by society in a just manner, to constitute a sound and complete legal system with good laws, to plan the pace and direction of the operation of the whole social life, and to realize social freedom, order and justice [21][22][23]. The law regulates the legal norms of various social relations arising in information activities, uses the mechanism of rights and obligations to guide the behavior of subjects, influences the interests and needs of information subjects, adjusts information social relations, and affects the order and development of society.…”

Section: Building a Legal Regulation System For Artificial Intelligencementioning

confidence: 99%

Dilemmas and Breakthroughs in the Legal Regulation of Artificial Intelligence Based on Deep Learning Models

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, we use big data analysis techniques combined with the TF-IDF algorithm to weigh the frequently occurring word frequency vectors in text and reduce the document length to obtain keywords without destroying the original text feature information. The similarity of text features is combined with a Bayesian algorithm for label classification to facilitate data query and indexing. The results show that the running time of the system is kept around 14s, the recall and accuracy can be close to about 75% and 72% on average, and the number of keywords can reach 5971 with an F1 value of 0.9, which proves the effectiveness of the artificial intelligence legal regulation system based on big data analysis.

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Section: Building a Legal Regulation System For Artificial Intelligencementioning

confidence: 99%

Dilemmas and Breakthroughs in the Legal Regulation of Artificial Intelligence Based on Deep Learning Models

2023

Applied Mathematics and Nonlinear Sciences

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“…In the recent study, Zafar et al (2021) have discussed that due to the global financial development freeze, a connection is made between a narrower order to use this information and drearier economic forecasts. As a result, our business situations and market indexes serve as useful research instruments for objectively investigating the previously stated connections empirically (Zhuo et al 2020) and (Hakuzimana and Masasi 2020).…”

Section: Introductionmentioning

confidence: 99%

Financial inclusion and green economic performance for energy efficiency finance

Liu

Vu²,

Phan

et al. 2022

Econ Change Restruct

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Financial inclusion is fundamental for increasing the nation’s performance and green economy has emerged as one of the dominant factors to ecological sustainability, but how will these two factors connect? This research analyzes the correlation between the two in the case of China, which is undergoing a transformation to a green economy, using state-level statistics from 2008 to 2020 to evaluate the connection between financial inclusion and the green economy. By taking into account the fast-expanding technology banking system, as well as the application of the minimum distance to the weak efficient frontier framework (MinDw), a comprehensive assessment of financial inclusion is created, as is an assessment of green economic productivity. The findings show that the expansion of financial inclusion may contribute to increased green economic proficiency, which is primarily achieved via the tightening of credit restrictions on carbon emitting companies. The results have more consequences for the implementation of a financial development strategy and the maintenance of healthy associations between the state, banking institutions, and businesses.

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“…The development and design of off-site financial supervision system supported by Internet information technology not only effectively improves the efficiency of data collection and realizes the sharing of information and data among various departments, but also improves the efficiency of risk identification, which enables financial regulators to enhance the identification of financial risks and lays a solid foundation for further deepening financial services [6]. Literature [7,8] found that many financial platforms are reluctant to make online loans because they do not have enough information about lenders and put forward that enough user credit data must be collected if online credit is implemented. Literature [9] found that online credit risk can be controlled, and all the above problems can be solved only by solving the information asymmetry between credit companies and credit users.…”

Section: Introductionmentioning

confidence: 99%

Research on the Construction of Financial Supervision Information System Based on Machine Learning

Lin

Shangle

Zhao

et al. 2022

Wireless Communications and Mobile Computing

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In order to fully implement systematic, continuous and effective supervision of financial institutions and promote the safe, steady, and efficient operation of China’s financial system, this research needs to develop a fully intelligent financial supervision information system, so as to take measures to effectively prevent and resolve financial risks. In this paper, based on ML (machine learning), an LSTM (long short-term memory) model with good comprehensive performance is built. This model is different from the existing scorecard model which relies on statistical learning. It not only further reduces the dependence on financial experts, but also has the ability of rapid iteration. The post-loan risk early warning model based on RF (random forest) algorithm is designed. The model parameters are optimized, which makes the risk early warning model have higher accuracy. The results show that when the data amount is 10,000 to 50,000, the accuracy of the model is relatively high when it is input into the model. When the amount of data is low, the overall throughput of the model is still very high. It shows that the pre-warning model of post-lending risk constructed in this paper has a strong risk prediction ability.

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Construction of Legal System for Maritime International Trade Financial Supervision Cooperation

Cited by 6 publications

References 0 publications

Dilemmas and Breakthroughs in the Legal Regulation of Artificial Intelligence Based on Deep Learning Models

Dilemmas and Breakthroughs in the Legal Regulation of Artificial Intelligence Based on Deep Learning Models

Financial inclusion and green economic performance for energy efficiency finance

Research on the Construction of Financial Supervision Information System Based on Machine Learning

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