AAISM Question #2: Real Exam Question with Answer & Explanation

The correct answer is D: Diverse data sourcing strategies. Bias in AI models primarily stems from limitations or imbalances in training data. The AAISM study materials emphasize that the most effective way to mitigate this risk is through diverse data sourcing strategies that ensure coverage across demographics, scenarios, and contexts.

AI Security Risk Management

Question

Which of the following controls BEST mitigates the risk of bias in AI models?

Options

ARobust access control techniques
BRegular data reconciliation
CCryptographic hash functions
DDiverse data sourcing strategies

Explanation

Bias in AI models primarily stems from limitations or imbalances in training data. The AAISM study materials emphasize that the most effective way to mitigate this risk is through diverse data sourcing strategies that ensure coverage across demographics, scenarios, and contexts. Access controls protect data security, not fairness. Data reconciliation ensures accuracy but does not address representational imbalance. Cryptographic hashing preserves integrity but has no impact on bias mitigation. To reduce systemic unfairness, the critical control is sourcing diverse and representative data.

Topics

#AI Bias Mitigation#Data Sourcing#AI Risk Management#Responsible AI

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