OneTrust Certified Privacy Professional Practice Exam

The underlying principle of 'fairness' in data processing is anchored in the idea that individuals should have reasonable expectations regarding how their personal data is collected and utilized. This principle ensures that processing does not deceive or surprise individuals about the use of their data.

When personal data is processed in a way that aligns with what individuals would expect, it builds trust between data controllers and data subjects. This means that data processing practices should be consistent with the context in which the data was obtained and should not involve any hidden surprises or unexpected outcomes that could violate the reasonable expectations of those individuals.

While consent, transparency and verifiability, and the necessity of data collection are important elements within data protection, they are not the core definition of 'fairness.' Those aspects can come into play to support the broader principle of fairness, but the heart of the matter lies in aligning with the expectations of individuals regarding their own data.