IAPP Artificial Intelligence Governance Professional (AIGP) — Question 60

What is the technique to remove the effects of improperly used data from an ML system?

Answer options

• A. Data cleansing.
• B. Model inversion.
• C. Data de-duplication.
• D. Model disgorgement.

Correct answer: D

Explanation

Model disgorgement is the process of completely removing a model from use due to the influence of bad data, effectively mitigating its negative effects. Data cleansing addresses data quality but does not remove the entire model. Model inversion and data de-duplication are unrelated to the removal of the negative impact of data on an ML system.