Birhane emphasizes the importance of scrutinizing large-scale datasets to mitigate biases and inaccuracies that can perpetuate societal biases within AI systems.
Biases in datasets can lead to unfair targeting of certain groups, eroding public trust in AI technologies and highlighting the need for more equitable and reliable systems.
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