129. bias in data: who is missing from the dataset (ks5)

We often trust data to give us the objective truth. But what if the data itself is prejudiced? If a machine learning algorithm is trained on incomplete information, its decisions will be inherently flawed. In this advanced module, we will critically interrogate datasets. You will learn to ask "who is missing?", analysing how historical and structural biases in data collection can lead to discriminatory technology.