Ethical Considerations for AI in Law Enforcement What are the challenges in pseudonymising data where the data contains information about an individual's consumer behavior and purchasing habits?

“Pseudonymisation means that individuals are not identifiable from the dataset itself, but can be identified by referring to other information held separately. Mar 6, 2023 ... Pseudonymisation is the process of replacing identifying information with random codes, which can be linked back to the original person with ... ... data', 'pseudonymisation' (24) and 'anonymised information' (25). 2.2.2 Definition of processing. (18). The notion of 'processing' is broadly defined in PIPA ... Pseudonymisation is a powerful tool when it comes to GDPR compliance. It works by replacing or obscuring personally identifiable information with a pseudonym, ... According to the GDPR, personal data is all information relating to an identified or identifiable natural person. 'Pseudonymous data' refers to the fake information in which the personal data cannot be revealed without additional information to retrieve the original data ... Jan 10, 2020 ... The amendments (i) clearly distinguish among personal data, pseudonymized data ... informational purposes only and should not be regarded ... Pseudonymization and anonymization are the two most common ways to achieve this. This article will define both methods and explain how they relate to GDPR ... Jul 24, 2013 ... In this paper we present a new approach which supports both data privacy and the possibility to give feedback to patients about their individual research ... ... informational knowledge that can be gleaned in ... pseudonymisation when processing personal data, measures of pseudonymisation whilst allowing general.