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algorithms and, importantly, the basic structures of decision theory that it embeds. To make a problem amenable to algorithmic … application. We use decision theory, including behavioural economics, to highlight the choices embedded within this problem space … lockstep advancement in awareness and application of decision theory. Such awareness may help to mitigate some of the …
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One way to unwind mass incarceration without compromising public safety is to use risk assessment instruments in sentencing and corrections. Although these instruments figure prominently in current reforms, critics argue that benefits in crime control will be offset by an adverse effect on...
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opportunities. Police observes information about citizens' types and allocates search efforts to catch citizens who commit crimes. I … show that the police who has full information about citizens may fail to deter any crimes. An information structure that … minimizes crime rate provides the police with information about citizens who face low returns to crime without identifying …
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As big data's promises of increased efficiency and serendipitous insights spread across a broad range of sectors, they are accompanied by new risks, some intuitive, some unpredictable. That dichotomy is heavily accentuated in the law enforcement context, where blithe application of new...
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This chapter focuses upon machine learning algorithms within police decision-making in England and Wales, specifically … tools underpinned by machine learning to aid police decision-making, and notes the impact of austerity as a driver for the … protection common law duties and functions of the police, a broad and imprecise legal base that the ECtHR in Catt found less than …
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system currently derives crime predictions and extrapolates from these methods how technology might one day allow police to …
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