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- W2064929042 abstract "Surprisingly, evidence used to be a Cinderella until the late 1990s in ‘AI & Law’ artificial intelligence for law, itself a burgeoning domain already in the 1980s. It was not until the 2000s that models of reasoning about legal evidence started to feature prominently. In so doing, it became vulnerable to the controversy about ‘probabilities in law’ among legal theorists; hence, the importance of developing models of plausibility i.e. ranking alternative accounts as opposed to strong commitment to probabilistic models of determination of guilt. Probabilistic models however potentially have a role in helping a prosecutor decide whether to prosecute. Moreover, they are quite useful in models supporting police investigation or helping with police intelligence. This is especially the case of data mining, a class of techniques which has been applied to legal databases as well as to law enforcement. Success was achieved especially in unravelling networks and in detecting fraud. We survey these classes of tools." @default.
- W2064929042 created "2016-06-24" @default.
- W2064929042 creator A5025944060 @default.
- W2064929042 date "2013-10-01" @default.
- W2064929042 modified "2023-09-25" @default.
- W2064929042 title "Legal evidence and advanced computing techniques for combatting crime: an overview" @default.
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- W2064929042 doi "https://doi.org/10.1080/13600834.2013.849438" @default.
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