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Government surveillance and facial recognition system in the context of modern technologies and security challenges

Author

Listed:
  • Gianmarco Cifaldi

    (“G d'Annunzio” University of Chieti-Pescara, Chieti, Italy)

Abstract

The challenges to privacy resulting from the use of modern and constantly improving data processing technologies pose a significant threat not only at the personal level, but also at the national level. The proliferation of biometric systems, and specifically facial recognition technologies in our everyday lives, has prompted the need to foster a public discussion regarding the associated societal and ethical concerns. Modern information and communication technologies allow organizations to process data on an extremely large scale and at an increasing speed. This thesis is reaffirmed by the exceptional economic strength of companies that process and store personal data on a worldwide scale (Alphabet, also known as Google or Meta, the company that owns Facebook and Instagram), or by the recent acknowledgment of this issue by several countries and the European Union. This paper highlights the state-of-the-art in data processing technology and centers on the numerous difficulties in handling data. It focuses on ethical, technical and legal concerns regarding facial recognition systems and also emphasizes the technologies available and their capacity for handling the larger volume and variety of personal data processing and Big Data Analytics.

Suggested Citation

  • Gianmarco Cifaldi, 2022. " Government surveillance and facial recognition system in the context of modern technologies and security challenges," Sociology and Social Work Review, International Society for projects in Education and Research, vol. 6(2), pages 93-101, December.
    • Handle: RePEc:edr:sswrgl:v:6:y:2022:i:2:p:93-101
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    References listed on IDEAS

    as
    1. Luigia Altieri & Gianmarco Cifaldi, 2018. "Big Data, Privacy And Information Security In The European Union," Sociology and Social Work Review, International Society for projects in Education and Research, vol. 2(1), pages 56-64, June.
    2. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
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    More about this item

    Keywords

    facial recognition; government surveillance; big data analytics; artificial intelligence; security challenges; machine learning.;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General

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