Скачать или смотреть When Is Pseudonymized Data Indirectly Identifiable?

Understanding the fine line between pseudonymized and indirectly identifiable data is crucial in the world of privacy law. This video delves into the complex scenarios where data that appears anonymized can still pose re-identification risks, exploring the legal and practical implications for organizations and AI systems.

Key insights you'll gain from this discussion include:
► Defining the distinction between pseudonymization and true anonymization under privacy regulations.
► Identifying common vectors and techniques that can lead to indirect identification of individuals from pseudonymized datasets.
► Analyzing the legal framework, such as GDPR, and its stance on when pseudonymized data becomes personal data.
► Exploring practical best practices and technical safeguards to mitigate re-identification risks in data processing.
► Understanding the consequences and liabilities when pseudonymized data is deemed indirectly identifiable.


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