论文标题
潜在的种族偏见 - 评估警察停留和搜查中的种族主义
Latent Racial Bias -- Evaluating Racism in Police Stop-and-Searches
论文作者
论文摘要
在本文中，我们介绍了潜在的种族偏见，这是一种评估特定事件中种族偏见的指标和方法。出于本文的目的，我们探讨了英国内政部办公室的停留事件数据集。我们使用许多统计模型（例如图形概率和Trueskill排名）探索了目标选择目标中的种族偏见。首先，我们提出了一个概率图形模型，用于在停止和搜索中建模种族偏见并探索不同的先验。其次，使用我们的推理方法，我们根据上述模型和数据为不同的种族/族裔群体生成了一组概率分布。最后，我们制作了该模型应用程序的一组示例，不仅预测了停止的偏见，而且还预测了法律官员的反应性响应。
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.
