Artificial Intelligence and Facial Recognition in an IoT Ecosystem: The Impact on Data Protection and Privacy and the Relevance of Ethics

Artificial Intelligence and Facial Recognition in an IoT Ecosystem: The Impact on Data Protection and Privacy and the Relevance of Ethics

Nicola Fabiano
Copyright: © 2022 |Pages: 11
DOI: 10.4018/IJCWT.305862
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Abstract

This article does not deepen the insight on technical aspects related to artificial intelligence and facial recognition, but it highlights how relevant privacy aspects are also inside an IoT ecosystem. Furthermore, the author points out the risks of some resources found online, exposing face images, in the compliance with GDPR and privacy rules process. Indeed, adopting artificial intelligence to realize human face images of people who do not exist but realized starting from real persons can have consequences on data protection rules and the possible misuse by everyone who can retrieve them. Artificial intelligence might foster synthetic identity, or, better, artificial intelligence synthetic identity cases, building human profiles using particulars belonging to different persons. The author proposes an approach based on the innovative data protection and privacy relationships model (DAPPREMO) to address any activity or process related to data protection and privacy due to having a broader view of any investigation's subject.
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The European Data Protection Regulation

From our perspective, the first step is to briefly describe the main European legal framework on the protection of natural persons in processing personal data (see Table 1). Indeed, this paper aims to evaluate how relevant a multidisciplinary approach is to balancing legal aspects and technical ones.

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