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What is the primary focus of the principle of Fairness in AI?

To ensure accuracy in predictions

To minimize computational resources

To avoid bias towards individuals

The principle of Fairness in AI primarily focuses on avoiding bias toward individuals or groups within the decision-making processes of AI systems. This principle is essential because biased algorithms can lead to unfair treatment of individuals based on race, gender, socioeconomic status, or other sensitive attributes. Ensuring fairness involves evaluating and mitigating biases present in training data, model design, and output decisions, thus promoting equity and justice in automated processes.

By focusing on fairness, AI practitioners aim to create systems that not only operate effectively but also uphold ethical standards, ensuring that the technology serves all segments of society without discrimination. This focus directly addresses concerns over social responsibility and the potential impact of AI on marginalized or disadvantaged communities.

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To improve data processing speed

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