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P315 - BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group

https://dl.gi.de/handle/20.500.12116/37442
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Auflistung P315 - BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group nach Schlagwort "biometric data"

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  • Konferenzbeitrag
    Emerging biometric modalities and their use: Loopholes in the terminology of the GDPR and resulting privacy risks
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Bisztray, Tamás; Gruschka, Nils; Bourlai, Thirimachos; Fritsch, Lothar
    Technological advancements allow biometric applications to be more omnipresent than in any other time before. This paper argues that in the current EU data protection regulation, classification applications using biometric data receive less protection compared to biometric recognition. We analyse preconditions in the regulatory language and explore how this has the potential to be the source of unique privacy risks for processing operations classifying individuals based on soft traits like emotions. This can have high impact on personal freedoms and human rights and, therefore, should be subject to data protection impact assessment.
  • Konferenzbeitrag
    Will new definitions of emotion recognition and biometric data hamper the objectives of the proposed AI Act?
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Czarnocki, Jan
    The paper explains how the definition of biometric data copied from the GDPR may hamper the regulation of emotion recognition—as defined in the proposed AI Act. A replicated definition of biometric data is suitable for biometric systems, but not emotion recognition technologies. It is because, under the proposed AI Act, an emotion recognition system is understood as such if it processes biometric data—as defined in the GDPR. But the definition from the GDPR does not encompass all biometric data, which are technically biometric data and are processed in the emotion recognition systems. Also, in the proposed AI Act the definition of emotion recognition does not recognize emotion recognition systems not relying on biometric data processing. That is why the obligation in the proposed AI Act for users to inform natural persons about their exposure to the emotion recognition system is unapplicable in the majority of cases. The flawed definition may also put at risk the proposed AI Act-based assessment of whether AI systems should be prohibited. Therefore, a new definition of emotion recognition and biometric data is needed.