2021
DOI: 10.1007/s00146-021-01199-9
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The ethical application of biometric facial recognition technology

Abstract: 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 recogniti… Show more

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Cited by 99 publications
(56 citation statements)
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“…Ethical implications of facial recognition technology require more regulations and laws. Security, privacy, autonomy, and democratic accountability are the most considered aspects [ 96 ]. In a comparative analysis of regulatory frameworks in the United States, Europe, and the United Kingdom, facial recognition technology will improve when considering data protection impact assessments and human rights impact assessments [ 97 ].…”
Section: Future Outlookmentioning
confidence: 99%
“…Ethical implications of facial recognition technology require more regulations and laws. Security, privacy, autonomy, and democratic accountability are the most considered aspects [ 96 ]. In a comparative analysis of regulatory frameworks in the United States, Europe, and the United Kingdom, facial recognition technology will improve when considering data protection impact assessments and human rights impact assessments [ 97 ].…”
Section: Future Outlookmentioning
confidence: 99%
“…to capture, understand, and anticipate the "needs" of their customers. Although ethical issues arise with biometrics-as-a-service (BaaS), the global BaaS market is expected to reach U.S. $6.41B and the overall global biometrics market to reach in excess of U.S. $99B by 2027 [26], [27]. Data scientists claim that big data can reveal patterns that were previously hidden from view.…”
Section: Meso: Machine Learning Marketing and Biologicalization-based...mentioning
confidence: 99%
“…Biometric facial recognition has been identified as a significant concern, because it creates privacy concerns when employed for citizen surveillance, crime control, activity monitoring, and facial expression evaluation [ 8 ], posing a threat by automating unauthorized access to personal data such as facial images [ 57 ]. A second significant area of worry with AI technology is the use of health wearables and applications.…”
Section: Topic Modeling and Content Analysismentioning
confidence: 99%