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  1. Smart criminal justice: exploring the use of algorithms in the Swiss criminal justice system.Monika Simmler, Simone Brunner, Giulia Canova & Kuno Schedler - 2023 - Artificial Intelligence and Law 31 (2):213-237.
    In the digital age, the use of advanced technology is becoming a new paradigm in police work, criminal justice, and the penal system. Algorithms promise to predict delinquent behaviour, identify potentially dangerous persons, and support crime investigation. Algorithm-based applications are often deployed in this context, laying the groundwork for a ‘smart criminal justice’. In this qualitative study based on 32 interviews with criminal justice and police officials, we explore the reasons why and extent to which such a smart criminal justice (...)
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  • Self-training improves few-shot learning in legal artificial intelligence tasks.Yulin Zhou, Yongbin Qin, Ruizhang Huang, Yanping Chen, Chuan Lin & Yuan Zhou - forthcoming - Artificial Intelligence and Law:1-17.
    As the labeling costs in legal artificial intelligence tasks are expensive. Therefore, it becomes a challenge to utilize low cost to train a robust model. In this paper, we propose a LAIAugment approach, which aims to enhance the few-shot learning capability in legal artificial intelligence tasks. Specifically, we first use the self-training approach to label the amount of unlabelled data to enhance the feature learning capability of the model. Moreover, we also search for datasets that are similar to the training (...)
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