So, there's an area of research that's under way called "AI Assurance" which seeks to answer many of these questions.

Some things they're attempting:

- Creating explainable outcomes by tracing the inner works of ML models.

- Looking for biases in models using random inputs & looking for biased outputs.

- Using training sets with differently weighted models to find attacks and biases.

etc.