Abstract: Data set bias not only compromises the fairness, accuracy and effectiveness of trained models, but also leads to a lower performance in real-world scenarios compared to the evaluation ...

Framed this way, the disagreement carries more weight than it should. Yield and rewards are questions of design within a payments framework, not questions of systemic safety or financial stability.