Outsmarting Machine Learning Biases: A Checklist

"ML optimization somehow finds a way and mitigation of bias is not always possible." The debate around fairness and explainability within the AI community has never been hotter. The works of Timnit Gebru and the likes have brought ethical AI to the spotlight. Machine learning has a reputation for being a black box, i.e one does not know what it learns and why it learns so. This makes validating results tricky.