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  5. Legal and Technical Answers to Privacy Issues raised by AI-based Facial Recognition Algorithms

Legal and Technical Answers to Privacy Issues raised by AI-based Facial Recognition Algorithms

Author(s)
Capasso, Claudia
Zingoni, Andrea  
Calabrò, Giuseppe  
Sterpa, Alessandro  
Date Issued
2023
Type
conferenceObject
Start Page
575
End Page
580
DOI
10.1109/MetroXRAINE58569.2023.10405669
Journal
...IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING (METROXRAINE)  
Abstract
Artificial intelligence is entering more and more in our everyday lives and is likely to revolution the world as we know. Among the numerous tasks it is able to solve, face recognition is of particular importance, especially in the fields of security and law enforcement. However, the techniques used to perform it are prone to strong privacy issues, which must be taken into account by governments. Starting from the emblematic case of the company Clearview AI, this contribution presents such issues and highlight the need for thorough and systematic efforts to produce a specific legislation for this matter. The attempts to do this are exposed, with a comparison between U.S.A. and E.U. In addition, the earliest possible technical solutions are introduced.
Handle
http://hdl.handle.net/2067/53384
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Conference(s)
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

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