How do cumulative Type 1 errors affect decision making?

This is when you reject a null hypothesis even though it is actually true...

Example:

1. A man is on trial for murder, he is actually INNOCENT, but found GUILTY - That is a Type I error

2. A man is on trial for murder he is actually GUILTY, but found INNOCENT - That is a Type II error