Fairness in AI
Ensures your data is free of outliers, bias and other sensitive features to mitigate the use of unfair models in any industry.
Fairness in AI
Ensures your data is free of outliers, bias and other sensitive features to mitigate the use of unfair models in any industry.
Our XAI Dashboard
Our dashboard supports mostly all widely used machine learning models to generate explainations like feature importance, local and global explainations of each prediction, while also evaluating model performance statistics for a holistic approach.
Our dashboard supports mostly all widely used machine learning models to generate explainations like feature importance, local and global explainations of each prediction, while also evaluating model performance statistics for a holistic approach.
Our XAI Dashboard's Feature
Choose sensitive features in your model
Our dashboard allows user to flag possible sensitive features that should not influence decision-making processes. Example of such features are age, gender, nationality, etc.
Get overall fairness scores for each feature
Our dashboard provides general information regarding one feature is contributing the processes fairly or not. If the fairness score is low, then the feature is not fair for every subject. Thus, inappropriate to be put in consideration.
Evaluate fairness over industry standard metrics
Our dashboard displays an even more thorough description on how the general result is computed. By using industries' standard metrics, each metrics' score is shown to provide clarity.
Breakdown features to evaluate fairness across subgroups
Our dashboard also manages explanations in detail on how each features affect subjects through various subgroups. From these results, XAI manages to come up with metric calculations and the general fairness score.
Our XAI Dashboard's Feature
Choose sensitive features in your model
Our dashboard allows user to flag possible sensitive features that should not influence decision-making processes. Example of such features are age, gender, nationality, etc.
Get overall fairness scores for each feature
Our dashboard provides general information regarding one feature is contributing the processes fairly or not. If the fairness score is low, then the feature is not fair for every subject. Thus, inappropriate to be put in consideration.
Evaluate fairness over industry standard metrics
Our dashboard displays an even more thorough description on how the general result is computed. By using industries' standard metrics, each metrics' score is shown to provide clarity.
Breakdown features to evaluate fairness across subgroups
Our dashboard also manages explanations in detail on how each features affect subjects through various subgroups. From these results, XAI manages to come up with metric calculations and the general fairness score.
