Human Rights and Algorithmic Impact Assessment for Predictive Policing

C. Castets-Renard
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引用次数: 3

Abstract

Artificial intelligence (AI) constitutes a major form of scientific and technological progress. For the first time in human history, it is possible to create autonomous systems capable of performing complex tasks, such as processing large quantities of information, calculating and predicting, learning and adapting responses to changing situations, and recognizing and classifying objects. For instance, algorithms, or so-called Algorithmic Decision Systems (ADS), are increasingly involved in systems used to support decision-making in many fields, such as child welfare, criminal justice, school assignment, teacher evaluation, fire risk assessment, homelessness prioritization, Medicaid benefit, immigration decision systems or risk assessment, and predictive policing, among other things. An Automated Decision(-making/-support) System (ADS) is a system that uses automated reasoning to facilitate or replace a decision-making process that would otherwise be performed by humans. These systems rely on the analysis of large amounts of data from which they derive useful information to make
预测性警务的人权和算法影响评估
人工智能(AI)是科技进步的主要形式。人类历史上第一次有可能创造出能够执行复杂任务的自主系统,例如处理大量信息,计算和预测,学习和适应变化的情况,以及识别和分类物体。例如,算法,或所谓的算法决策系统(ADS),越来越多地参与到用于支持许多领域决策的系统中,例如儿童福利,刑事司法,学校作业,教师评估,火灾风险评估,无家可归者优先排序,医疗补助福利,移民决策系统或风险评估,以及预测性警务等。自动决策(制定/支持)系统(ADS)是一种使用自动推理来促进或取代决策过程的系统,否则将由人类执行。这些系统依赖于对大量数据的分析,从中获得有用的信息来做出决策
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