Artificial fairness? Trust in algorithmic police decision-making.
Artificial fairness? Trust in algorithmic police decision-making.
复制标题
人造公平？信任算法警察决策。
DOI：
10.1007/s11292-021-09484-9
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发表时间：
2023
影响因子：
3
通讯作者：
Jackson J
中科院分区：
文献类型：
--
作者：
Hobson Z;Yesberg JA;Bradford B;Jackson J
测试(1)人们是否认为由算法做出的警务决定比由警官做出同样的决定更值得信赖；(2)面对算法警务具体实例的人，总体上或多或少地支持算法警务的普遍使用；(3)人们将信任作为一种启发式方法，通过它来理解算法警务等不熟悉的技术。一项在线实验测试了不同的决策方法、结果和情景类型是否会影响对决策的适当性和公平性的判断，以及警察使用这一特定技术的普遍可接受性。与官员做决定相比，人们认为由算法做决定更不公平、更不合适。然而，对公平和适当性的看法是对警察使用算法的支持的有力预测因素，并且通过对决策的信任，接触到算法的成功使用与对警察使用算法的更大支持有关。仅根据算法做出决策可能会损害信任，而警察越是完全依赖算法决策，人们对决策的信任度就越低。然而，仅仅接触到算法的成功使用似乎就增强了这种技术的普遍可接受性。在线版本包含补充材料，可在10.1007/s11292-021-09484-9获得。
Test whether (1) people view a policing decision made by an algorithm as more or less trustworthy than when an officer makes the same decision; (2) people who are presented with a specific instance of algorithmic policing have greater or lesser support for the general use of algorithmic policing in general; and (3) people use trust as a heuristic through which to make sense of an unfamiliar technology like algorithmic policing. An online experiment tested whether different decision-making methods, outcomes and scenario types affect judgements about the appropriateness and fairness of decision-making and the general acceptability of police use of this particular technology. People see a decision as less fair and less appropriate when an algorithm decides, compared to when an officer decides. Yet, perceptions of fairness and appropriateness were strong predictors of support for police use of algorithms, and being exposed to a successful use of an algorithm was linked, via trust in the decision made, to greater support for police use of algorithms. Making decisions solely based on algorithms might damage trust, and the more police rely solely on algorithmic decision-making, the less trusting people may be in decisions. However, mere exposure to the successful use of algorithms seems to enhance the general acceptability of this technology. The online version contains supplementary material available at 10.1007/s11292-021-09484-9.
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1.4
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