Algorithmic decision systems have frequently been labelled as "biased", "racist", "sexist", or "unfair" by numerous media outlets, organisations, and researchers. There is an ongoing debate about whether such assessments are justified and whether citizens and policymakers should be concerned. These and other related matters have recently become a hot topic in the context of biometric technologies, which are ubiquitous in personal, commercial, and governmental applications. Biometrics represent an essential component of many surveillance, access control, and operational identity management systems, thus directly or indirectly affecting billions of people all around the world. Recently, the European Association for Biometrics organised an event series with "demographic fairness in biometric systems" as an overarching theme. The events featured presentations by international experts from academic, industry, and governmental organisations and facilitated interactions and discussions between the experts and the audience. Further consultation of experts was undertaken by means of a questionnaire. This work summarises opinions of experts and findings of said events on the topic of demographic fairness in biometric systems including several important aspects such as the developments of evaluation metrics and standards as well as related issues, e.g. the need for transparency and explainability in biometric systems or legal and ethical issues.
翻译:许多媒体、组织和研究人员经常将分析决策系统称为“偏见”、“种族主义”、“性别歧视”、“性别歧视”或“不公平”的媒体、组织和研究人员经常将这种评估称为“偏见”、“种族主义”、“性别歧视”或“不公平”。关于这种评估是否合理以及公民和决策者是否应当关注,目前正在进行辩论。这些和其他相关事项最近已成为个人、商业和政府应用中无处不在的生物鉴别技术的一个热点议题。生物测量是许多监测、访问控制和操作性身份管理系统的重要组成部分,从而直接或间接地影响到全世界数十亿人。最近,欧洲生物测量学协会举办了一系列“生物鉴别系统的人口公平”活动,作为总主题。活动主要包括来自学术界、工业界和政府组织的国际专家介绍情况,便利专家与听众之间的互动和讨论。进一步的专家协商是通过问卷进行的。这项工作总结了专家的意见和关于生物鉴别系统人口公平主题的调查结果,包括若干重要方面,例如评价指标和标准的发展以及相关问题,例如,伦理学和生物鉴别系统或法律问题的可变性和可解释性。