生物计量学与个人身份的形而上学

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IET Biometrics Pub Date : 2021-12-07 DOI:10.1049/bme2.12062

Amy Kind

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引用次数: 2

摘要

过去几十年来，生物识别技术的巨大进步带来了一系列紧迫的问题。哲学审查已经致力于许多相关的伦理和政治问题，特别是数据收集中的隐私、偏见和安全问题。但令人惊讶的是，哲学家们很少关注相关的形而上学问题，尤其是与个人身份有关的问题。本文旨在采取一些初步措施来纠正这种疏忽。在讨论了个人身份的哲学问题后，探讨了生物特征身份概念与个人身份哲学概念的联系或不联系。尽管使用生物识别身份来追踪个人身份可能有一些很好的理由，但有人认为，生物识别身份与个人身份不是一回事，因此生物识别研究人员应该停止谈论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Biometrics and the metaphysics of personal identity

The vast advances in biometrics over the past several decades have brought with them a host of pressing concerns. Philosophical scrutiny has already been devoted to many of the relevant ethical and political issues, especially ones arising from matters of privacy, bias, and security in data collection. But philosophers have devoted surprisingly little attention to the relevant metaphysical issues, in particular, ones concerning matters of personal identity. This paper aims to take some initial steps to correct this oversight. After discussing the philosophical problem of personal identity, the ways in which the notion of biometric identity connects with, or fails to connect with, the philosophical notion of personal identity is explored. Though there may be some good reasons to use biometric identity to track personal identity, it is contended that biometric identity is not the same thing as personal identity and thus that biometrics researchers should stop talking as if it were.

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来源期刊

IET Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

5.90

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： The field of biometric recognition - automated recognition of individuals based on their behavioural and biological characteristics - has now reached a level of maturity where viable practical applications are both possible and increasingly available. The biometrics field is characterised especially by its interdisciplinarity since, while focused primarily around a strong technological base, effective system design and implementation often requires a broad range of skills encompassing, for example, human factors, data security and database technologies, psychological and physiological awareness, and so on. Also, the technology focus itself embraces diversity, since the engineering of effective biometric systems requires integration of image analysis, pattern recognition, sensor technology, database engineering, security design and many other strands of understanding. The scope of the journal is intentionally relatively wide. While focusing on core technological issues, it is recognised that these may be inherently diverse and in many cases may cross traditional disciplinary boundaries. The scope of the journal will therefore include any topics where it can be shown that a paper can increase our understanding of biometric systems, signal future developments and applications for biometrics, or promote greater practical uptake for relevant technologies: Development and enhancement of individual biometric modalities including the established and traditional modalities (e.g. face, fingerprint, iris, signature and handwriting recognition) and also newer or emerging modalities (gait, ear-shape, neurological patterns, etc.) Multibiometrics, theoretical and practical issues, implementation of practical systems, multiclassifier and multimodal approaches Soft biometrics and information fusion for identification, verification and trait prediction Human factors and the human-computer interface issues for biometric systems, exception handling strategies Template construction and template management, ageing factors and their impact on biometric systems Usability and user-oriented design, psychological and physiological principles and system integration Sensors and sensor technologies for biometric processing Database technologies to support biometric systems Implementation of biometric systems, security engineering implications, smartcard and associated technologies in implementation, implementation platforms, system design and performance evaluation Trust and privacy issues, security of biometric systems and supporting technological solutions, biometric template protection Biometric cryptosystems, security and biometrics-linked encryption Links with forensic processing and cross-disciplinary commonalities Core underpinning technologies (e.g. image analysis, pattern recognition, computer vision, signal processing, etc.), where the specific relevance to biometric processing can be demonstrated Applications and application-led considerations Position papers on technology or on the industrial context of biometric system development Adoption and promotion of standards in biometrics, improving technology acceptance, deployment and interoperability, avoiding cross-cultural and cross-sector restrictions Relevant ethical and social issues