反贪资讯科技

A. Minbaleev, K. Evsikov
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引用次数: 3

摘要

大多数国家都在大力打击腐败。国际组织制定了有效的建议,使许多国家在执行反腐败政策方面取得了成功。根据这些建议,俄罗斯政府制定并执行了对付这一社会现象的有效方法。目前,反腐倡廉的成效正在下降。在考虑了俄罗斯和世界范围内反腐败机制的发展趋势后,作者得出结论,使用反腐败方法会导致效率的延迟下降。特别是,长期透明的方式导致腐败互动主体之间的关系复杂化,而不是腐败的中和。为了克服效率延迟下降的影响,作者提出了将大数据处理技术和人工智能引入反腐败体系的假设。本文分析了国外使用这些工具的经验。根据分析结果,作者指出了外国专家遇到的问题,并就在俄罗斯组织反腐败活动提出了建议。本文提出了作者对人工智能系统进行全面反c的结构
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Anti-Corruption Information Technologies
Most countries are making significant efforts to combat corruption. International organizations have developed effective recommendations that have allowed many states to achieve success in the implementation of anti-corruption policies. Using these recommendations Russian Government has developed and implemented effective methods for combating this social phenomenon. Currently, the results obtained from anti-corruption activities are declining. Having considered the tendencies in the development of anti-corruption mechanisms in Russia and worldwide, the authors concluded that there is a delayed decrease in efficiency from the use of anti-corruption methods. In particular, the method of transparency in the long-term period leads to the complication of relations between the corruption interaction subjects, instead of corruption neutralization. To overcome the effect of the delayed decrease in efficiency, the authors put forward a hypothesis about the need to introduce big data processing technologies and artificial intelligence into the anti-corruption system. The work analyzes the foreign experience of using these tools. Based on the results of the analysis, the authors identified problems encountered by foreign specialists and gave recommendations on the organization of anti-corruption activity in Russia. The article proposes the author’s structure of an artificial intelligence system that carries out a comprehensive anti-c
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
14
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