[1] AutoML potentially includes every stage from beginning with a raw dataset to building a machine learning model ready for deployment.
AutoML was proposed as an artificial intelligence-based solution to the growing challenge of applying machine learning.
AutoML aims to simplify these steps for non-experts, and to make it easier for them to use machine learning techniques correctly and effectively.
[7] This phrase refers to the issue in machine learning where development relies on manual decisions and biases of experts.
Basically, it's the struggle between how much experts should get involved in the learning of the systems versus how much freedom they should be giving the machines.