Seclea Explain provides the state-of-the-art tools to data scientists, engineers and project manager to explain the machine learning models, their evolution/development and decisions to any stakeholder.
Explain Model
Seclea Platform enables data scientists, engineers and project managers to focus on the business challenge they are trying to solve. They can design and evaluate advanced machine learning algorithms and Seclea provides a clear explanation of their model. The model explanation can be used to gain trust and confidence of the project owner and help show compliance with Responsible AI and relevant regulations.
Understand Model Evolution
Seclea Platform automatically monitors how your machine learning and deep learning models learn and evolve over individual training phases. Seclea analyses the model evolution and the role of input data to provide explanation of the model in the context of the respective development, input data and target application deployment environment. This enables full transparency of your machine learning models as data scientists and concerned stakeholders can examine the model evolution and behaviour.
Explain Decisions
Seclea Platform provides tools to explain their AI applications’ decision with clear rational and context. Seclea has a curated set of state-of-the-art tools that provides decision explanation by:
a) Explaining the main features of the final state of a model that played the most influential role in a particular decision.
b) Explaining the evolution of the main features, with context from the training phase and input data, of the final state of a model that played the most influential role in a particular decision.
Tailor Explanations
Seclea Platform enables data scientists, engineers and project managers to tailor the explanation based on the target audience’s requirements. Seclea’s explanation tailoring helps improve general public and non-data-scientist trust in automated decision making by providing explanations that they can relate to and easily understand.
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