Overview
The Responsible AI Toolbox is a comprehensive suite of tools designed to operationalize responsible AI practices throughout the AI lifecycle. It provides functionalities for model debugging, decision-making, fairness assessment, and error analysis. The toolbox offers a single-pane-of-glass experience through the Responsible AI Dashboard, allowing users to interactively connect insights from various tools to conduct holistic responsible AI assessments. Key components include error analysis widgets, explanation dashboards, and fairness dashboards. The architecture allows for customization based on unique tooling needs, including integration with external tools. Use cases range from identifying and mitigating model biases to explaining individual predictions and informing business decisions. The toolbox supports both classification and regression models, with metrics that are tailored to the model type.