Lack of Regulations and Standards

The absence of comprehensive regulations and standards for AI training and deployment plays a role in the prevalence of biased AI. Without clear guidelines on ensuring fairness and mitigating bias, developers may unknowingly create and deploy AI systems that act in biased ways, as there's insufficient emphasis on checking and correcting for these biases during development.

The absence of comprehensive regulations and standards for AI training and deployment plays a role in the prevalence of biased AI. Without clear guidelines on ensuring fairness and mitigating bias, developers may unknowingly create and deploy AI systems that act in biased ways, as there's insufficient emphasis on checking and correcting for these biases during development.

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Training Data Bias

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