IAPP
AIGP · Question #143
What is the technique to remove the effects of improperly used data from an ML system?
The correct answer is D. Model disgorgement. Model disgorgement is the technique used to remove the influence of improperly used or problematic data from a trained machine learning model.
AI Models and Data
Question
What is the technique to remove the effects of improperly used data from an ML system?
Options
- AData cleansing.
- BModel inversion.
- CData de-duplication.
- DModel disgorgement.
How the community answered
(28 responses)- A7% (2)
- C4% (1)
- D89% (25)
Explanation
Model disgorgement is the technique used to remove the influence of improperly used or problematic data from a trained machine learning model.
Topics
#model disgorgement#training data remediation#ML lifecycle#data removal
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