Algorithmic bias in AI and machine learning models is a problem that many researchers are trying to fix by creating tools and frameworks to identify them and eventually mitigate them. The common biases that exist are, for instance, gender-bias, racial-bias, among others. As machine learning models are trained on human-generated data, eliminating bias entirely is impossible. However, researchers are actively working on preventing it by developing tools to identify and work on them.
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5 Tools & Frameworks That Can Clear Bias From Various Datasets
1.10 GEEK