Feb 8, 2021 - 11 min
Machine learning is only effective if it is based on accurate sources. "Bias in machine learning is often the result of training an algorithm with data that does not properly reflect the world. The machine's reality is what you show it. Realign the training data and the algorithm learns to correct former tendencies." So, how do we get the right training data? Benjamin Fels explores in the Financial Times.