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microsoft/responsible-ai-toolbox

responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

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Builder

Microsoft

Microsoft

microsoft • big-tech

Stars

1,777

Using upstream star count

Forks

477

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jul 6, 2020

Project creation date

README Summary

Responsible AI Toolbox Responsible AI is an approach to assessing, developing, and deploying AI systems in a safe, trustworthy, and ethical manner, and take responsible decisions and actions.

Community Evaluation

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AI Dev Skills

Unmapped

Bias DetectionCausal InferenceCounterfactual AnalysisData Drift DetectionError AnalysisExplainable AI (XAI)Fairness AssessmentModel DebuggingModel InterpretabilityModel Performance MonitoringResponsible AI Governance

Tags

Bias DetectionCausal InferenceCounterfactual AnalysisData Drift DetectionError AnalysisExplainable AI (XAI)Fairness AssessmentModel DebuggingModel InterpretabilityModel Performance MonitoringResponsible AI GovernanceBenchmarkingComputer VisionCurated ListData ScienceDeep LearningEvalsForkedHuggingFaceJupyterKerasMachine LearningMLflowNumPyObject DetectionOpenAIPandasPythonPyTorchSpeech to TextTensorFlow

Taxonomy

AI Trends

AI SafetyExplainable AIResponsible AIAI GovernanceMLOps

category

Data Science & AnalyticsFoundation ModelsModel TrainingEvals & BenchmarkingObservability & MonitoringGenerative MediaComputer VisionLearning Resources

Deployment Context

Cloud APISelf-hostedBrowser/WASMOn-premise

Modalities

TabularTextImage

Skill Areas

Model InterpretabilityExplainable AI (XAI)Fairness AssessmentBias DetectionModel DebuggingError AnalysisCounterfactual AnalysisCausal InferenceData Drift DetectionModel Performance MonitoringResponsible AI Governance

tag

BenchmarkingComputer VisionCurated ListData ScienceDeep LearningEvalsForkedHuggingFaceJupyterKerasMLflowMachine LearningNumPyObject DetectionOpenAIPandasPyTorchPythonSpeech to TextTensorFlow

Use Cases

AI Model Bias DetectionPrediction ExplanationModel Performance AssessmentError Analysis and DebuggingFairness AuditingCounterfactual What-if AnalysisData Quality AssessmentModel Monitoring DashboardResponsible AI Compliance

Recent Activity

Updated 3 months ago

7 Days

0

30 Days

0

90 Days

0

Fix widget-e2e: add null-loader for CSS files to fix maplibre-gl compilation (#2613)

Ilya Matiach • Feb 6, 2026

917a491

Fix UI tests: update Cypress config and test assertions (#2612)

Ilya Matiach • Feb 5, 2026

58d474a

Fix ci-rai-core-flask: pip 25.x compatibility and artifact upload conflicts (#2609)

Copilot • Feb 3, 2026

1850171

Quality

production
Quality
high
Maturity
production

Categories

Data Science & AnalyticsPrimaryEvals & BenchmarkingObservability & MonitoringLearning ResourcesFoundation ModelsModel TrainingGenerative MediaComputer VisionOther AI / ML

PM Skills

Data & EvaluationUser Experience

Languages

TypeScript100.0%

Timeline

Project created
Jul 6, 2020
Forked
Mar 22, 2026
Your last push
3 months ago
Upstream last push
1 months ago
Tracked since
Feb 6, 2026

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