IAPP
AIGP · Question #146
Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?
The correct answer is B. Validating that the data is representative. Ensuring that training and testing data is representative of the real-world population is critical to mitigating bias in AI models.
AI System Risks
Question
Which of the following considerations is the most important in mitigating the potential of bias in training and testing data?
Options
- AUsing privacy-enhancing tools to protect the data.
- BValidating that the data is representative.
- CReceiving explicit consent to use the data.
- DAssessing the sufficiency of the third-party data.
How the community answered
(28 responses)- A4% (1)
- B82% (23)
- C4% (1)
- D11% (3)
Explanation
Ensuring that training and testing data is representative of the real-world population is critical to mitigating bias in AI models.
Topics
#data bias#representativeness#training data#fairness
Community Discussion
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