Final answer:
The 2 steps involved in the machine learning of the relationship between brain activation and moral judgments are data collection and preprocessing, and model training and evaluation.
Step-by-step explanation:
The 2 steps involved in the machine learning of the relationship between brain activation and moral judgments are:
- Data collection and preprocessing: This step involves gathering relevant data on brain activation and moral judgments, and then preprocessing the data to remove noise and make it ready for analysis.
- Model training and evaluation: In this step, a machine learning model is trained using the preprocessed data to learn the relationship between brain activation and moral judgments. The model is then evaluated to assess its performance and accuracy.