Failure to adequately explain model development, working and outcome inherently invites both regulatory and customer scrutiny, especially when things go wrong.
- The extent to which customers need to know how and why a particular outcome has been reached
- Do you need to understand black box models and if so, why?
- Where is explainability a luxury and where is it absolute necessity
- Lessons learned from failures and how explainability could have helped