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AI Ethics in Predictive Policing: From Models of Threat to an Ethics of Care | IEEE Journals & Magazine | IEEE Xplore

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The adoption of data-driven organizational management — which includes big data, machine learning, and artificial intelligence (AI) techniques — is growing rapidly across all sectors of the knowledge economy. There is little doubt that the collection, dissemination, analysis, and use of data in government policy formation, strategic planning, decision execution, and the daily performance of duties can improve the functioning of government and the performance of public services. This is as true for law enforcement as any other government service. Significant concerns have been raised, however, around the use of data-driven algorithms in policing, law enforcement, and judicial proceedings. This includes predictive policing — the use of historic crime data to identify individuals or geographic areas with elevated risks for future crimes, in order to target them for increased policing. Predictive policing has been controversial for multiple reasons, including questions of prejudice and pre

The adoption of data-driven organizational management — which includes big data, machine learning, and artificial intelligence (AI) techniques — is growing rapidly across all sectors of the knowledge economy. There is little doubt that the collection, dissemination, analysis, and use of data in government policy formation, strategic planning, decision execution, and the daily performance of duties can improve the functioning of government and the performance of public services. This is as true for law enforcement as any other government service. Significant concerns have been raised, however,

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