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What is the primary goal of fairness in AI?

1. To prevent discrimination and ensure inclusivity
2. To eliminate the need for transparency
3. To increase system accuracy
4. None of the above

Answer :

The primary goal of fairness in AI is to prevent discrimination and ensure inclusivity. In the context of artificial intelligence, fairness refers to the equitable treatment of individuals and groups by AI systems. It is a critical consideration in AI development because biased AI systems can lead to unfair outcomes, such as discrimination against certain demographic groups.

  1. Prevent Discrimination and Ensure Inclusivity: Algorithms can sometimes unintentionally harm marginalized groups by reinforcing existing social biases found in training data. The aim of AI fairness is to avoid these consequences by designing systems that consider diverse user experiences and ensure equality.

  2. Not About Eliminating the Need for Transparency: Transparency is another important aspect of AI ethics, but it is not the primary goal of fairness. Transparency involves making AI operations understandable and visible to users, stakeholders, and regulators.

  3. Not About Increasing System Accuracy: While accuracy is a vital aspect of AI performance, fairness specifically targets the ethical dimension of AI decision-making. A highly accurate system could still be unfair if it results in biased or discriminatory outcomes.

Therefore, the correct choice is 1. To prevent discrimination and ensure inclusivity. Ensuring fairness in AI promotes trust, integrity, and ethical adoption of technology in society.

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