Providing the basis for ethical AI through explanations by coupling non-interpretable and interpretable systems

摘要

A method, a system, and a system of systems, that couples one or more non-interpretable systems to one or more interpretable systems by using the output results of the non-interpretable systems as the training targets for the interpretable systems. The method, the system, and the system of systems provide for non-interpretable complex nonlinear interactions among inputs by augmenting the set of in-sample and out-sample inputs. The result of the coupling is one or more resulting interpretable systems that allow for the development of explanations, justifications, and rationalizations for systems heretofore non-explainable or non-interpretable. The method, system and system of systems solve transparency and bias problems for non-interpretable systems and provides a basis for ethical systems, such as ethical artificial intelligent (AI) systems.