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Navigating Bias in AI Models
Companies are faced with a challenging dilemma of addressing biases in AI models, which are fundamentally reflections of human biases. The tension lies between allowing models to output biases unchecked and navigating the corrections to mitigate biases. One potential solution involves providing users with more personalized experiences by adapting responses based on individual preferences and allowing users to choose the persona with which the AI model responds. This approach could offer a middle ground between leaving biases unaddressed and attempting to correct them.