MCQ Single Best Answer Moderate

QWhich method helps to reduce algorithmic bias?

ID: #24850 AI Governance & Risk Management 7 views

Question Info

#24850Q ID

ModerateDifficulty

AI Governance & Risk ManagementTopic

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A Ignoring demographic data ✔ ✖
B Removing monitoring ✔ ✖
C Reducing features randomly ✔ ✖
D Integrating diverse and balanced datasets ✔ ✖

Correct Answer: Option D

Explanation

The correct answer is: Integrating diverse and balanced datasets

Explanation:

Algorithmic bias often occurs when training data is skewed or not representative of all groups. Using diverse and balanced datasets helps ensure the model learns fairly across different populations. This approach is strongly recommended in responsible AI frameworks like those from NIST.

Why not the others?

❌ Ignoring demographic data → Can hide bias instead of fixing it
❌ Removing monitoring → Makes bias harder to detect
❌ Reducing features randomly → May degrade performance without addressing bias

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