Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao
The Radical AI Podcast
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How to Define Fairness and Bias, Right?
There are a number of things that can go wrong to your point. So one is a fairness and bias, right? Then we also have explainability of models, explainability of results. And then morals need to be able to explain, and the people using those morals needs to be explained. The third one is a a security right?
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