Nov. 28, 2022, 2:10 a.m. | Gábor Erdélyi, Olivia J. Erdélyi, Andreas W. Kempa-Liehr

cs.CR updates on arXiv.org arxiv.org

This paper focuses on some shortcomings in current privacy and data
protection regulations' ability to adequately address the ramifications of
AI-driven data processing practices, in particular where data sets are combined
and processed by AI systems. We raise attention to two regulatory anomalies
related to two fundamental assumptions underlying traditional privacy and data
protection approaches: (1) Only Personally Identifiable Information (PII) and
Personal Data (PD) require privacy protection: Privacy and data protection
regulations are only triggered with respect to PII/PD, …

challenges data fusion privacy privacy regulation regulation

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