Which concept states that all data-processing activities and algorithms should be completely explainable and understood by the person who provides their data?

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Transparency in data processing means that every step of how data is collected, used, stored, and especially the logic behind algorithms, can be explained in clear terms to the person who provided the data. This openness lets individuals see what happens to their information, why certain results or decisions occur, and what control they have over their data. When this level of visibility exists, people can assess potential risks and decide whether to share more, withdraw, or seek remedies. This is why the concept described is transaction transparency: it centers the ability to understand and verify what happens to data across the processing lifecycle.

Data anonymization focuses on removing identifiers to protect identity, not on explaining processing steps. Privacy is the broader aim of safeguarding personal information but doesn’t by itself ensure that every processing activity or algorithm is fully explainable to the data provider. Consent covers agreeing to data use, but it doesn’t guarantee full transparency of all processing activities or decisions.