bias and fairness in ai system control
Bias and fairness in AI system control refer to the presence of any prejudice or discrimination within AI systems, as well as the need to ensure equitable treatment and unbiased decision-making in their design and operation. It involves identifying and addressing any inherent biases and ensuring that AI systems do not favor or disadvantage individuals or groups based on factors such as race, gender, or socioeconomic status.
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