Results with AI and automation initiatives comes from beginning with apparent issues, constructing with a sound data foundation, and maintaining individuals from the loop when judgment matters.Systems which might be trained on datasets gathered with biases might show these biases upon use (algorithmic bias), thus digitising cultural prejudices.[151