Measuring AI Bias
Adam discusses the complexities of bias in AI systems, emphasizing how historical biases can be perpetuated when training models on past data. He highlights the tension between ensuring equal access to outcomes and maintaining accuracy across different demographics. The conversation sheds light on the ongoing challenges in measuring and addressing bias in AI, particularly within traditional frameworks.In this clip
From this podcast
The AI Podcast
Performance AI: Insights from Arthur's Adam Wenchel – Ep. 221
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