Resocialization of convicts based on individual predictions using information technologies

BACKGROUND: One area of legal policy development in Kazakhstan is the digital transformation of execution of punishments in correctional institutions with its analysis based on various criteria. In this case, a key performance criteria of such institutions is the effective preparation of convicts for release and correction of their social behavior for successful adaptation in society. In this regard, we suggest that information technologies are relevant for resocialization of convicts, especially those aimed at individual prediction of unlawful behavior. AIM: The study aims to investigate resocialization of convicts based on individual predictions using information technologies. MATERIALS AND METHODS: The study uses dialectical understanding of resocialization of convicts based on individual predictions using information technologies. SWOT analysis was used to determine the feasibility of such technology as chipping. RESULTS: Digital transformation of the penal system focuses on the integration and adaptation of existing information technologies and their key indicators for forecasting in correctional institutions. In particular, such technology as chipping of convicts is worthy of attention as it can be helpful in resocialization of convicts. Analysis of the data from the chip allows to determine the factors influencing the behavior of convicts and to develop individual rehabilitation programs. DISCUSSION: Individual behavior prediction of convicts using microchips implies that microchips implanted in a person’s body can collect various data related to his or her mental state, brain activity, emotional reactions, and other parameters. The data is transferred to the database and analyzed to develop an individual behavior profile of the convict. It is obvious that, in order to accurately predict the behavior of convicts, it is required to cooperate with both technical experts and persons involved in crime forecasting. Therefore, it is important to conduct a comprehensive study of deviant behavior among convicts to be used in both conventional prediction methods and the state-of-the-art information technologies. CONCLUSION: Microchipping as a tool to predict the behavior of convicts is a controversial topic and its use shall be carefully considered in the context of legal and ethical standards. However, the use of digital technologies for individual prediction of the behavior of convicts is a key to improving the resocialization process.

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Publication Details

Journal
Russian Journal of Legal Studies (Moscow)
Published
2025-04-29
DOI
https://doi.org/10.17816/rjls642145
Citations
1
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
1.54
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article

Resocialization of convicts based on individual predictions using information technologies

С. С. Бримжанова, Malik Mukanov, Nurlan A. Biekenov, Assel S. Kozhakhmet
1 citations
Russian Journal of Legal Studies (Moscow)
Occupational Health and Safety Research
1.54
article

Resocialization of convicts based on individual predictions using information technologies

С. С. Бримжанова, Malik Mukanov, Nurlan A. Biekenov, Assel S. Kozhakhmet
article en
1 citations

Abstract

BACKGROUND: One area of legal policy development in Kazakhstan is the digital transformation of execution of punishments in correctional institutions with its analysis based on various criteria. In this case, a key performance criteria of such institutions is the effective preparation of convicts for release and correction of their social behavior for successful adaptation in society. In this regard, we suggest that information technologies are relevant for resocialization of convicts, especially those aimed at individual prediction of unlawful behavior. AIM: The study aims to investigate resocialization of convicts based on individual predictions using information technologies. MATERIALS AND METHODS: The study uses dialectical understanding of resocialization of convicts based on individual predictions using information technologies. SWOT analysis was used to determine the feasibility of such technology as chipping. RESULTS: Digital transformation of the penal system focuses on the integration and adaptation of existing information technologies and their key indicators for forecasting in correctional institutions. In particular, such technology as chipping of convicts is worthy of attention as it can be helpful in resocialization of convicts. Analysis of the data from the chip allows to determine the factors influencing the behavior of convicts and to develop individual rehabilitation programs. DISCUSSION: Individual behavior prediction of convicts using microchips implies that microchips implanted in a person’s body can collect various data related to his or her mental state, brain activity, emotional reactions, and other parameters. The data is transferred to the database and analyzed to develop an individual behavior profile of the convict. It is obvious that, in order to accurately predict the behavior of convicts, it is required to cooperate with both technical experts and persons involved in crime forecasting. Therefore, it is important to conduct a comprehensive study of deviant behavior among convicts to be used in both conventional prediction methods and the state-of-the-art information technologies. CONCLUSION: Microchipping as a tool to predict the behavior of convicts is a controversial topic and its use shall be carefully considered in the context of legal and ethical standards. However, the use of digital technologies for individual prediction of the behavior of convicts is a key to improving the resocialization process.

Russian Journal of Legal Studies (Moscow)Vol. 12(1)
Openalex Percentile: Top 20%
Occupational Health and Safety Research
1.54
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