Demystifying the complexity of AI by ensuring Interpretability and Transparency
About XAI
The adoption and value realization from AI/ML models is minimal due to their lack of interpretability and explainability. Business leaders are hesitant to deploy black-box models that they cannot understand or trust. TuringXai's XAI module solves this problem by providing businesses with a clear understanding of how and why their AI/ML model is making a prediction. By analyzing data elements at the row level as well as at the model level, the XAI module provides detailed explanations that instill confidence in users and empower them to make better decisions with the help of AI/ML models.
Key Features of XAI Module
Global Explanations
TuringXai’s proprietary algorithms provide business users with detailed explanations of AI/ML model predictions, both at the individual row level and overall model level. This is achieved by breaking down the contribution of each data element to the specific predicted result.
What-if Analysis
The XAI module’s “What-if Analysis” feature allows users to explore the impact of changes in input variables on the model’s output. With this feature, users can adjust different data elements in a what-if simulator to understand how these changes will affect the predicted outcome. This helps businesses refine their AI/ML models and make better-informed decisions.
Action Analysis
TuringXai’s Action Analysis helps businesses and users visualize how changes in a specific input parameter affects the predictions made by the model, while keeping all other input parameters constant. This gives a clear picture of how the model uses each input parameter to make decisions.
Benefits of XAI Module
Other Modules
Action Analysis
TuringXai uses Individual Conditional Expectation (ICE) charts to visualize how changes in one of the predefined top input parameters affect the model’s predictions while keeping all other input parameter constant. This provides a clear understanding of how the model is using each input parameter and how it is making its decisions