# How to check if conditional independence holds from CPDs

These CPDs are presented in the Probabilistic Graphical Models course on Coursera as examples of conditional independence and conditional dependence, respectively. I have a vague idea of why the first set of tables show conditional independence but am not sure how to explain it. I can see, for instance, that the probability of $$s^0{}$$ and G given $$i^0{}$$ sums to 0.95 which is the probability of $$s^0{}$$ given $$i^0{}$$.

I don't know how the following shows loss of independence.