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Michael Woudenberg's avatar

Great essay. I explored the layers of bias in AI and took a slightly different but related approach that broke them down into three layers

1. Ethical Bias - The systems and structures that we think about as problematic

2. Data Bias - How we collect, what we collect, and how we currate data

3. Mathematical Bias - Simply put, AI is weighted math to reduce large data to outputs. It is, by definition, bias.

The key to eliminating bias is that we might have to apply bias to bias bias.

https://www.polymathicbeing.com/p/eliminating-bias-in-aiml

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