Addressing Data Bias
Daniel discusses the importance of addressing bias in AI data, emphasizing the need for diverse training data to ensure fair outcomes. Monitoring for biases and adjusting training data based on user feedback are key steps in mitigating potential discrimination in AI systems.In this clip
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