Enhancing Representativeness in Data

Diversity plays a vital role in mitigating bias in AI by ensuring data used for training algorithms is representative of the global population. When diverse datasets are employed, AI systems can make more accurate and equitable decisions across different demographics, reducing the risk of perpetuating or amplifying biases present in society.

Diversity plays a vital role in mitigating bias in AI by ensuring data used for training algorithms is representative of the global population. When diverse datasets are employed, AI systems can make more accurate and equitable decisions across different demographics, reducing the risk of perpetuating or amplifying biases present in society.

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Bias in AI and Algorithms

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