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https://ruomo.lib.uom.gr/handle/7000/1100
Title: | Remote biometric identification systems and ethical challenges: The case of facial recognition |
Authors: | Milossi, Maria |
Type: | Conference Paper |
Subjects: | FRASCATI::Social sciences::Law FRASCATI::Engineering and technology::Other engineering and technologies |
Keywords: | FRT Regulation Artificial Intelligence data protection ethics Privacy Social networking (online) Law Face recognition Europe |
Issue Date: | 18-Oct-2021 |
Publisher: | IEEE |
First Page: | 1 |
Last Page: | 6 |
Volume Title: | 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) |
Abstract: | Artificial Intelligence (AI) is the field of computer science progressing rapidly, simulating human behavior and thinking and affecting already the most of economic and social activities. The use of AI has undoubtedly positive outcomes but also implies high-risks. One of the most common AI applications is the case of facial recognition, a remote biometric identification system that raises the conversation around the intrusion into individuals’ privacy. In an attempt to balance ethical values and legal principles concerning, inter alia, automated recognition, European Commission puts forward a regulatory framework with specific objectives. The paper aims to highlight the precautionary principle that EU enforces in the case of facial recognition practice, establishing security mechanisms with the aim of mining, re-using and sharing data that are required for the buildout of a reliable Artificial Intelligence. |
URI: | https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566226 https://ruomo.lib.uom.gr/handle/7000/1100 |
ISBN: | 978-1-6654-2742-5 |
Other Identifiers: | 10.1109/SEEDA-CECNSM53056.2021.9566226 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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RΕΜΟΤΕ BIOMETRIC IDENTIFICATION SYSTEMS.pdf | 548,19 kB | Adobe PDF | View/Open |
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