Data minimization supports AI governance by which of the following?

• A. Collecting as much data as possible for more accuracy.
• B. Storing data indefinitely.
• C. Collecting only what is necessary; reduces privacy risk and improves data quality and governance.
• D. Avoiding data governance.

Answer: (C)

Data minimization means gathering only what is necessary to fulfill a defined purpose and keeping data only for as long as needed. In AI governance, this reduces privacy risk, since less data means fewer opportunities for misuse or exposure, and it improves data quality and governance by ensuring that the data being used is relevant, purpose-driven, and easier to manage. This approach also supports clearer consent, better data lifecycle controls, and easier compliance with privacy and regulatory requirements.

Collecting as much data as possible would increase privacy risk and governance complexity. Storing data indefinitely creates unnecessary retention and risk, and avoiding data governance undermines accountability. Therefore, collecting only what is necessary; reduces privacy risk and improves data quality and governance.