which case would benefit from explainable AI principles

In what cases are Explainable AI Principles beneficial?

These days, the use of Artificial Intelligence (AI) is increasing in every field, but when it comes to Explainable AI, there are specific cases where it is most needed. For example, in healthcare, banking, law, and government decisions, Explainable AI makes decisions transparent and understandable.

Many people want to know which cases would benefit from Explainable AI principles, that is, which cases would be most beneficial for using these principles. A prime example is healthcare: suppose a patient needs to be diagnosed with a disease through AI. If the AI ​​tells them it's a disease, but the cause isn't clear, it can be frustrating for both the doctor and the patient. But when Explainable AI reveals the data or symptoms that informed a decision, doctors not only have greater confidence in that decision, but patients also receive clear information.

Similarly, in banking and finance, when a loan is approved or rejected, customers want to know the reasons. Explainable AI also makes decision-making trustworthy and transparent. Similarly, explainability is crucial in government policies or law enforcement, as citizens have the right to understand the rationale behind a decision.

Tip:

If you plan to use an AI-based system in your business or service, ensure it incorporates Explainable AI features to maintain user trust and ensure regulatory compliance. For example, you can also find more information on Wikipedia on Explainable AI.