Ethics of Face Recognition in Smart Cities Toward Trustworthy AI

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Published

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Ethics of Face Recognition in Smart Cities Toward Trustworthy AI. / Tao, M.; Jiang, R.; Downs, C.
Big Data Privacy and Security in Smart Cities. ed. / Richard Jiang; Ahmed Bouridane; Chang-Tsun Li; Danny Crookes; Said Boussakta; Feng Hao; Eran A. Edirisinghe. Cham: Springer, 2022. (Advanced Sciences and Technologies for Security Applications).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Harvard

Tao, M , Jiang, R & Downs, C 2022, Ethics of Face Recognition in Smart Cities Toward Trustworthy AI. in R Jiang, A Bouridane, C-T Li, D Crookes, S Boussakta, F Hao & EA Edirisinghe (eds), Big Data Privacy and Security in Smart Cities. Advanced Sciences and Technologies for Security Applications, Springer, Cham. https://doi.org/10.1007/978-3-031-04424-3_2

APA

Tao, M., Jiang, R., & Downs, C. (2022). Ethics of Face Recognition in Smart Cities Toward Trustworthy AI. In R. Jiang, A. Bouridane, C-T. Li, D. Crookes, S. Boussakta, F. Hao, & E. A. Edirisinghe (Eds.), Big Data Privacy and Security in Smart Cities (Advanced Sciences and Technologies for Security Applications). Springer. https://doi.org/10.1007/978-3-031-04424-3_2

Vancouver

Tao M , Jiang R , Downs C. Ethics of Face Recognition in Smart Cities Toward Trustworthy AI. In Jiang R, Bouridane A, Li C-T, Crookes D, Boussakta S, Hao F, Edirisinghe EA, editors, Big Data Privacy and Security in Smart Cities. Cham: Springer. 2022. (Advanced Sciences and Technologies for Security Applications). doi: 10.1007/978-3-031-04424-3_2

Author

Tao, M. ; Jiang, R. ; Downs, C. / Ethics of Face Recognition in Smart Cities Toward Trustworthy AI. Big Data Privacy and Security in Smart Cities. editor / Richard Jiang ; Ahmed Bouridane ; Chang-Tsun Li ; Danny Crookes ; Said Boussakta ; Feng Hao ; Eran A. Edirisinghe. Cham : Springer, 2022. (Advanced Sciences and Technologies for Security Applications).

Bibtex

@inbook{4d7b6a4acfa84130972a300a7f72c3c8,

title = "Ethics of Face Recognition in Smart Cities Toward Trustworthy AI",

abstract = "In the past few decades, thanks to the continuous development of machine learning and deep learning algorithms, as well as the continuous improvement of computing power and databases, facial recognition technology (FRT) has developed rapidly. Widespread use of this technology can be seen in all fields of life, such as facepay, individual identification, smart-city surveillance, e-passport or even face to DNA identification. However, some experts believe that certain errors that commonly creep into its functionality and a few ethical considerations need to be addressed before its most elaborate applications can be realized. This article explores the ethical issues of FRT used in different scenarios, tries to examine some legal and regulatory issues that may be encountered during the use of FRT, and technically analyze how to build a trustworthy intelligent system. ",

keywords = "AI ethics, Face Recognition, Legislation",

author = "M. Tao and R. Jiang and C. Downs",

year = "2022",

month = sep,

day = "9",

doi = "10.1007/978-3-031-04424-3_2",

language = "English",

isbn = "9783031044236",

series = "Advanced Sciences and Technologies for Security Applications",

publisher = "Springer",

editor = "Richard Jiang and Ahmed Bouridane and Chang-Tsun Li and Danny Crookes and Said Boussakta and Feng Hao and Edirisinghe, {Eran A.}",

booktitle = "Big Data Privacy and Security in Smart Cities",

}

RIS

TY - CHAP

T1 - Ethics of Face Recognition in Smart Cities Toward Trustworthy AI

AU - Tao, M.

AU - Jiang, R.

AU - Downs, C.

PY - 2022/9/9

Y1 - 2022/9/9

N2 - In the past few decades, thanks to the continuous development of machine learning and deep learning algorithms, as well as the continuous improvement of computing power and databases, facial recognition technology (FRT) has developed rapidly. Widespread use of this technology can be seen in all fields of life, such as facepay, individual identification, smart-city surveillance, e-passport or even face to DNA identification. However, some experts believe that certain errors that commonly creep into its functionality and a few ethical considerations need to be addressed before its most elaborate applications can be realized. This article explores the ethical issues of FRT used in different scenarios, tries to examine some legal and regulatory issues that may be encountered during the use of FRT, and technically analyze how to build a trustworthy intelligent system.

AB - In the past few decades, thanks to the continuous development of machine learning and deep learning algorithms, as well as the continuous improvement of computing power and databases, facial recognition technology (FRT) has developed rapidly. Widespread use of this technology can be seen in all fields of life, such as facepay, individual identification, smart-city surveillance, e-passport or even face to DNA identification. However, some experts believe that certain errors that commonly creep into its functionality and a few ethical considerations need to be addressed before its most elaborate applications can be realized. This article explores the ethical issues of FRT used in different scenarios, tries to examine some legal and regulatory issues that may be encountered during the use of FRT, and technically analyze how to build a trustworthy intelligent system.

KW - AI ethics

KW - Face Recognition

KW - Legislation

U2 - 10.1007/978-3-031-04424-3_2

DO - 10.1007/978-3-031-04424-3_2

M3 - Chapter (peer-reviewed)

SN - 9783031044236

T3 - Advanced Sciences and Technologies for Security Applications

BT - Big Data Privacy and Security in Smart Cities

A2 - Jiang, Richard

A2 - Bouridane, Ahmed

A2 - Li, Chang-Tsun

A2 - Crookes, Danny

A2 - Boussakta, Said

A2 - Hao, Feng

A2 - Edirisinghe, Eran A.

PB - Springer

CY - Cham

ER -

Research

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