Artificial Intelligence is defined as the act of parameter estimation. Toy example for Linear Regression Imagine if we want to predict the price of a choclate bar We feed in a bunch of bar weight vs. chocolate price data; that’s the training data Then, we come up with a model of the training data We then throw away the training data Therefore, we can think of the model as a COMPRESSION of the training data; estimating parameters. Bias in AI It is the ability of AI as a TOOL that causes it a very big UNDOING. Blueberry Muffin vs. Chuwawa Its quite difficult to come with codified rules; yet, we can just ask for it to compressive