The NIPS paper out of Google lists them all:
- Boundary erosion
- Data dependencies
- Feedback loops
- Machine learning-systems anti-patterns
- Configuration debt
- Changes in the world outside of the ML system
Very accessibly written and easy to follow if you have any experience putting modeling systems to work in any capacity.
Full disclosure: I work at Google, though not on the engineering side of the house.