Data Bias in AI
Emily discusses the troubling implications of biased data in AI, highlighting instances where search algorithms perpetuate harmful stereotypes. She emphasizes the importance of understanding data collection methods and the optimization metrics that shape these models. Additionally, she explores sentiment analysis through the lens of Yelp reviews, illustrating how biases can skew perceptions and outcomes in real-world scenarios.In this clip
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