Journal of Jishou University(Social Sciences Edition) ›› 2023, Vol. 44 ›› Issue (2): 31-43.DOI: 10.13438/j.cnki.jdxb.2023.02.004

• Law • Previous Articles     Next Articles

The Problem in the Execution of Punishment against Liberty in Our Country and Its Solution:on Digital Governance of Recidivism Based on Intelligent Risk Assessment of Recidivism

DI Xiaohua   

  1. (Law School,Nanjing University,Nanjing 210046,China)
  • Online:2023-03-01 Published:2023-04-20

Abstract: The execution of punishment against liberty adheres to the combination of punishment and reform,with the purpose of transforming people.However,the traditional free execution punishment against liberty,characterized by the equal distribution of limited execution resources,not only intensifies the inherent contradiction between the punishment that deprives or restricts freedom and the reform that promotes the criminals to integrate into the society,but also causes the deviation between the means and the purpose of the reform,bringing the negative impact of unfair and inefficient execution of sentences.With the acceleration of the process of national rule of law,especially the continuous improvement of artificial intelligence in criminal justice,the unification of penalty execution reform must promote the integration of punishment against liberty with the assistance of artificial intelligence technology.To this end,in response to the mismatch between supply and demand that exists in traditional execution,it is essential to rely on the development of intelligent risk assessment of recidivism,to achieve dynamic matching of criminal causes and responses through accurate assessment,immediate warning,precise recommendation,evidence-based supervision and reform,and in this way to achieve the integration goals such as unified standards,subject coordination,relationship harmonization,procedural standardization,and backward and forward convergence in the execution of punishment against liberty.

Key words: execution of punishment against liberty, integration of execution and punishment, intelligent risk assessment, digital governance of recidivism, evidence-based practice

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