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Ethics of Face Recognition in Smart Cities Toward Trustworthy AI

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Big Data Privacy and Security in Smart Cities

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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.

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Author information

Authors and Affiliations

  1. LIRA Center, Lancaster University, Lancaster, LA1 4YW, UK

    Mengjun Tao, Richard Jiang & Carolyn Downs

Authors
  1. Mengjun Tao
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  2. Richard Jiang
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  3. Carolyn Downs
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Corresponding author

Correspondence to Mengjun Tao .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, UK

    Richard Jiang

  2. Centre for Data Analytics and Cybersecurity, University of Sharjah, Sharjah, United Arab Emirates

    Ahmed Bouridane

  3. School of Information Technology Deakin, University Deakin, Geelong, VIC, Australia

    Chang-Tsun Li

  4. Queen’s University Belfast, Belfast, UK

    Danny Crookes

  5. School of Engineering, Newcastle University, Newcastle upon Tyne, UK

    Said Boussakta

  6. Department of Computer Science, University of Warwick, Warwick, UK

    Feng Hao

  7. Keele University, Staffordshire, UK

    Eran A. Edirisinghe

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Tao, M., Jiang, R., Downs, C. (2022). Ethics of Face Recognition in Smart Cities Toward Trustworthy AI. In: Jiang, R., et al. 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

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