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 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. In order to provide a forum for experts in the field, 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”,目前正在辩论这种评估是否合理,公民和决策者是否应当关注这些问题。这些和其他相关事项最近已成为生物鉴别技术中的一个热点议题,这些技术在个人、商业和政府应用方面无处不在。生物测定是许多监视、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。为了为这一领域的专家提供一个论坛,欧洲生物测量学协会组织了一个以“生物鉴别系统的人口公平”为主题的活动系列,以“生物鉴别系统的人口公平”为总主题。这些活动由来自学术界、工业界和政府组织的国际专家介绍,便利了专家与听众之间的互动和讨论。进一步的专家协商是通过一份调查表进行的。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,包括评估指标和标准的发展等一些重要方面,并解释了在生物鉴别学方面的透明度问题和问题。例如,需要评估标准的发展,以及相关的道德问题。