Smith Marcus, Miller Seumas
Centre for Law and Justice, Charles Sturt University, Canberra, Australia.
Australian Graduate School of Policing and Security, Charles Sturt University, Canberra, Australia.
AI Soc. 2022;37(1):167-175. doi: 10.1007/s00146-021-01199-9. Epub 2021 Apr 13.
Biometric facial recognition is an artificial intelligence technology involving the automated comparison of facial features, used by law enforcement to identify unknown suspects from photographs and closed circuit television. Its capability is expanding rapidly in association with artificial intelligence and has great potential to solve crime. However, it also carries significant privacy and other ethical implications that require law and regulation. This article examines the rise of biometric facial recognition, current applications and legal developments, and conducts an ethical analysis of the issues that arise. Ethical principles are applied to mediate the potential conflicts in relation to this information technology that arise between security, on the one hand, and individual privacy and autonomy, and democratic accountability, on the other. These can be used to support appropriate law and regulation for the technology as it continues to develop.
生物特征面部识别是一种人工智能技术，涉及对面部特征的自动比对，执法部门利用它从照片和闭路电视中识别身份不明的嫌疑人。随着人工智能的发展，其功能正在迅速扩展，在解决犯罪问题方面具有巨大潜力。然而，它也带来了重大的隐私及其他伦理问题，需要法律法规加以规范。本文考察了生物特征面部识别的兴起、当前应用及法律进展，并对所产生的问题进行伦理分析。运用伦理原则来调解信息技术在安全与个人隐私、自主权以及民主问责制之间可能产生的潜在冲突。随着该技术不断发展，这些原则可用于支持对其进行适当的法律法规规范。
