潜在的种族偏见--评警察拦截中的种族主义
Latent Racial Bias -- Evaluating Racism in Police Stop-and-Searches
摘要：
在本文中，我们介绍了潜在的种族偏见，一个度量和方法来评估特定事件中的种族偏见。为了本文的目的，我们探讨英国内政部数据集的停止和搜索事件。我们探讨种族偏见的目标选择，使用一些统计模型，如图形概率和TrueSkill排名。首先，我们提出了一个概率图形模型，用于模拟停止和搜索中的种族偏见，并探索不同的先验。其次，使用我们的推理方法，我们根据所述模型和数据为不同种族/民族群体产生一组概率分布。最后，我们产生了一组应用这个模型的例子，预测偏差不仅停止，而且在反应的反应，由法律官员。
英文摘要：
In this paper, we introduce the latent racial bias, a metric and method to evaluate the racial bias within specific events. For the purpose of this paper we explore the British Home Office dataset of stop-and-search incidents. We explore the racial bias in the choice of targets, using a number of statistical models such as graphical probabilistic and TrueSkill Ranking. Firstly, we propose a probabilistic graphical models for modelling racial bias within stop-and-searches and explore varying priors. Secondly using our inference methods, we produce a set of probability distributions for different racial/ethnic groups based on said model and data. Finally, we produce a set of examples of applications of this model, predicting biases not only for stops but also in the reactive response by law officers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
