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July 15, 2025 08:32
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,105 @@ ```mermaid sequenceDiagram participant User as Intent Recognition participant Controller participant AutoML as AutoML Engine participant Tabular as Tabular Engine participant Vision as Vision Engine participant AutoMLPlus as AutoML+ Engine participant ModelStore as Model Store participant DatasetStore as Dataset Store participant SessionStore as Session Store participant XAI as XAI Layer participant UI as User Interface participant SKG as Semantic Knowledge Graph participant FairEval as Fairness Evaluation User->>Controller: Extract task type & user input Controller->>AutoML: Request requirements AutoML-->>Controller: Return requirements JSON Controller->>AutoML: Send config, data, task info AutoML->>Tabular: For tabular data AutoML->>Vision: For vision tasks AutoML->>AutoMLPlus: For general/multi-modal tasks Tabular->>Tabular: Uses hyperparameter search Tabular->>Tabular: Uses model ensembles Vision->>Vision: Uses transfer learning Vision->>Vision: Avoids neural architecture search (cost) AutoMLPlus->>Ensuring Unbiased AI in Autonomous Vehicles: Used by Ensuring Unbiased AI in Autonomous Vehicles Vision->>Ensuring Unbiased AI in Autonomous Vehicles: Used by Ensuring Unbiased AI in Autonomous Vehicles Vision->>Compliance Screener: Used by Compliance Screener AutoMLPlus->>Website Accessibility Checker: Used by Website Accessibility Checker AutoML->>ModelStore: Save model AutoML->>DatasetStore: Save data AutoML->>SessionStore: Save session info ModelStore->>ModelStore: Store handler & ethics metadata DatasetStore->>DatasetStore: Store splits & metadata AutoML->>XAI: Trigger XAI Layer XAI->>AutoML: Receive model, task, test data XAI->>UI: Generate SHAP/GradCAM/Fairness metrics UI->>User: Provide evaluation results UI->>EndUser: Report transparency & trust AutoML->>SKG: Query task context SKG-->>AutoML: Return insights SKG->>XAI: Feed insights SKG->>FairEval: Inform fairness evaluation FairEval->>AutoML: Send feedback ```