| The deep integration of artificial intelligence and justice is embodied in both the application of law and fact-finding. The latter is a precondition of the former. To intervene in the fact-finding in a case, artificial intelligence needs to digitize the evidence, integrate the data, and output conclusions that can be understood by human beings. On the step of digitalization of evidence, it is necessary to carry out structured data transformation of evidence and overcome language problems. On the step of data integration, artificial intelligence mainly uses probabilistic reasoning, rather than causal reasoning, as its logical reasoning model and needs to face two major problems of computability and complexity in its algorithm. On the step of conclusion output, it needs to solve the problems of how to deepen machine learning, how to build belief, and how the machine expresses itself. The main problems faced by the integration of artificial intelligence into the fact-finding in cases can be solved through “small data” training and the gradual building of “mind-microstructure” of artificial intelligence. |
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