Which of the following principles supports building an ML system with a Privacy by Design methodology?

Which of the following principles supports building an ML system with a Privacy by Design methodology?
A . Avoiding mechanisms to explain and justify automated decisions.
B . Collecting and processing the largest amount of data possible.
C . Understanding, documenting, and displaying data lineage.
D . Utilizing quasi-identifiers and non-unique identifiers, alone or in combination.

View Answer

Answer: C

Explanation:

Data lineage is the process of tracking the origin, transformation, and usage of data throughout its lifecycle. It helps to ensure data quality, integrity, and provenance. Data lineage also supports the Privacy by Design methodology, which is a framework that aims to embed privacy principles into the design and operation of systems, processes, and products that involve personal data. By understanding, documenting, and displaying data lineage, an ML system can demonstrate how it collects, processes, stores, and deletes personal data in a transparent and accountable manner3.