The Role of Artificial Intelligence in Reducing Recidivism: Emerging Opportunities and Challenges
DOI:
https://doi.org/10.58342/ghalibqj.V.14.I.3.2Keywords:
AI Risk Assessment, Artificial Intelligence, Ethical Implications, Legal Frameworks, Recidivism PreventionAbstract
Recidivism refers to a situation in which an individual, after a first conviction, commits the same or similar offenses. The main research question is whether artificial intelligence, as a computer-based system capable of performing tasks that usually require human intelligence, can play an active role in reducing recidivism. This issue is significant because recidivism not only harms society but also presents an opportunity to leverage emerging technologies for crime prevention and offender rehabilitation. The primary aim of this study is to examine the role of artificial intelligence in reducing recidivism while considering emerging opportunities and challenges in this field. This research is descriptive-analytical in nature and relies on library-based resources. The findings indicate that analyzing criminal behavior data, employing crime prediction methods, and providing specialized services for offender rehabilitation can contribute to crime reduction through technical measures and legal mechanisms. However, challenges such as algorithmic bias, lack of transparency, dispersed responsibility, data protection, psycho-social impacts, privacy violations, and threats to human dignity present significant concerns. Accordingly, artificial intelligence should function as a supporter and guide in the decision-making process rather than as an absolute decision-maker.
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