Solving The Black-Box: ETR 0.5, a Fully Traceable and Explainable Machine-learning technology

The Black Box is one of the most significant open problems in the field of AI. It refers to the opacity of certain machine learning models, especially deep neural networks. In these, decisions and predictions are made through complex internal processes that are difficult to interpret, making it hard to understand how and why a model reaches a specific conclusion. This presents challenges for adoption in critical systems.

Our ETR 0.5 technology offers a solution to the Black Box problem by providing fully traceable and explainable machine learning capabilities. This enables integration into decision-critical systems or systems requiring full explainability, especially in applications such as medicine, finance, industry, or justice.