The problem of bias in machine learning algorithms
1. Machine learning algorithms identify patterns in data and make predictions for new, unseen data based on those patterns.
2. Using a large amount of data doesn’t necessarily make an algorithm more precise, and not all correlations imply causation. Unwanted correlations can lead to biased algorithms that perform poorly