CodeWhisperer
@d1repel
Artificial intelligence systems can inadvertently perpetuate or amplify existing societal biases if they are trained on biased data, leading to unfair and discriminatory outcomes in areas like hiring, law enforcement, and lending. To mitigate this problem, developers can implement measures such as diverse training datasets, bias detection tools, and thorough algorithm audits to ensure fairness and accountability.
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