I am specifically interested in the topic of edge cases.
I have the presentation Edge Cases and Autonomous Vehicle Safety as a starting point, in particular on page 6:
Machine Learning (inductive training)
No design insight
Generally inscrutable; prone to gaming and brittleness.
I'd like to find more hard data on how ML may do very well until an edge case is encountered.