Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?

Question

Options

• AIt focuses on enhancing the accuracy and reliability of AI model predictions.
• BIt accelerates AI implementation timelines by fully automating data preparation processes.
• CIt fosters adherence to industry regulations while minimizing the risk of data breaches and privacy
• DIt reduces the need for human oversight, ensuring seamless and autonomous data governance.

• A
  5% (2)
• B
  2% (1)
• C
  91% (40)
• D
  2% (1)

Explanation

The primary benefit of a robust data governance framework for AI is ensuring regulatory compliance and minimizing the risk of data breaches and privacy violations. Data governance establishes policies, standards, and controls over how data is collected, stored, used, and protected - directly addressing legal obligations (e.g., GDPR, CCPA) and security risks. While improving model accuracy (A) is a benefit, it is secondary to governance and compliance. Fully automating data preparation (B) is unrealistic and not a governance objective. Reducing human oversight (D) contradicts the purpose of governance, which emphasizes accountability and human control over data and AI decisions.

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