The AI neighborhood has launched numerous ideas and instruments to interpret AI mannequin outcomes, together with characteristic significance, partial dependence plots, and sub-population evaluation. The Explainable AI (XAI) instruments are essential in constructing belief amongst end-users and regulators, figuring out and mitigating bias, and enhancing general mannequin efficiency. They’re constructed to reply the primary query of all customers: “Why did the mannequin make a particular prediction for an occasion or a bunch of situations?”
Whereas the XAI instruments are invaluable in figuring out bias and constructing belief, they’re extremely prone to misuse.
For example, most characteristic significance strategies assume that options are impartial. Because of this, together with extremely correlated options within the evaluation can result in unreliable outcomes. Furthermore, completely different approaches for calculating the worldwide significance of options, reminiscent of utilizing the “imply…