White Box AI
White Box AI refers to artificial intelligence systems where the internal logic, decision-making processes, and data transformations are transparent, interpretable, and explainable to humans. It contrasts with 'black box' AI, where models operate opaquely, making it difficult to understand how inputs lead to outputs. This concept is crucial in fields requiring accountability, such as healthcare, finance, and legal applications, where understanding AI decisions is as important as their accuracy.
Developers should learn and use White Box AI when building systems in regulated industries or applications where trust, safety, and ethical considerations are paramount, such as in medical diagnostics, credit scoring, or autonomous vehicles. It helps ensure compliance with regulations like GDPR, which includes a 'right to explanation,' and reduces risks by allowing humans to audit and validate AI behavior, leading to more reliable and fair outcomes.