Part 2/14:
A common misconception is that once a statistical model is developed and validated, it is sufficiently "robust" and ready for decision-making processes. Yet, this belief overlooks the essential human and ethical factors that determine whether AI can truly support business objectives. According to industry experts, merely having a high-performing model does not guarantee success; the model needs a "halo" of responsibility features—elements that foster trust, transparency, and accountability.