From Traditional to Intelligent: The Development and Characteristics of Investigative Logical Thinking in the Context of Artificial Intelligence

Abstract

The application of artificial intelligence in criminal investigation has become a hot spot of theoretical and practical research, the core of which is reflected in the innovation of big data technology and machine algorithms on the investigation mode. This paper starts from the perspective of logical thinking, discusses the transformation of investigative thinking and its characteristics in the era of artificial intelligence, and aims to reveal the deep mechanism of the integration of traditional investigative logic and intelligent technology. The logical thinking commonly used in traditional investigation is mainly reflected in retrospective reasoning, scientific hypothesis and best explanation reasoning. The investigation in the era of artificial intelligence is facing new requirements and challenges, which makes the logical thinking in the investigation in the era of artificial intelligence present new characteristics, thus empowering the transformation of investigative logical thinking. By exploring the transformation of logical thinking in investigation empowered by artificial intelligence, it is urgent to build a “human-machine symbiosis” model, in order to play the core role of logical thinking in investigation and improve the legality, ethics and effectiveness of investigation work.