Research on Algorithm Risk and Regulation in Intelligent Intelligence Analysis postprint

Abstract: [Purpose/significance] In recent years, artificial intelligence has brought changes in thinking, concepts, methods and techniques to national intelligence work, making intelligent intelligence analysis gradually become one of the important tasks for the innovation and development of national intelligence. This paper studies the algorithm risk and its regulation in intelligent intelligence analysis to avoid the security risks caused by artificial intelligence algorithms and reduce the factors that restrict the development of intelligence work.[Method/process] Based on the interpretation of the core algorithms and research issues of intelligent intelligence analysis, combined with actual application scenarios, the causes and consequences of algorithmic risk and the interaction between the factors of algorithmic risk are analyzed. Establish a gradual regulatory framework for intelligent intelligence analysis algorithms through pre-assessment, mid-event supervision, and post-event accountability.[Result/conclusion] This article analyzes the formation mechanism of the "intelligence" cocoon room, and proposes a virtuous cycle of algorithm regulation and coordinated development before, during, and after the risks of algorithm black boxes, algorithm defects, and algorithm manipulation in intelligent intelligence analysis, and believes that Facing the two sides of the algorithm is also an effective way to prevent and defuse the risk of the algorithm.