Black Box Models – The Challenge Today
The capabilities of AI models are constantly improving, and companies across a range of industries are interested in leveraging their power. However, complex AI models lack transparency and accountability – qualities that are particularly important in regulated sectors like finance, healthcare and insurance. The decisions made by models need to be objectively assessed – and this is particularly challenging when the consumer of these decisions is not a data scientist. We must bridge the gap between the technical complexity of ML models and in-house domain expertise – and ensure results are interpretable and can be easily explained.
The “Glass Box” Transformation – Demystify’s Answer
Demystify is a complete solution for interpreting decisions made by complex AI models, evaluating such models and monitoring their performance. By incorporating advanced explainability techniques combined with proprietary methods, Demystify helps domain experts understand the decisions of such AI models. Demystify’s model-agnostic solution runs multiple analyses and automatically provides insights in a language that domain experts can fully understand.
Demystify’s intuitive visualizations help experts make informed decisions about whether to trust the decisions the model makes. In addition, Demystify addresses regulatory compliance requirements by providing explanations for these decisions.