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Trusted-AI/AIF360

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

View on GitHub↗Upstream Trusted-AI/AIF360↗

Builder

Trusted-AI

Trusted-AI

Trusted-AI • individual

Stars

2,875

Using upstream star count

Forks

913

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Aug 22, 2018

Project creation date

README Summary

[![Continuous Integration](https://github.com/Trusted-AI/AIF360/actions/workflows/ci.yml/badge.svg)](https://github.com/Trusted-AI/AIF360/actions/workflows/ci.yml) [![Documentation](https://readthedocs.org/projects/aif360/badge/?version=latest)](https://aif360.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/aif360.svg)](https://badge.fury.io/py/aif360) [![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/aif360)](https://cran.r-project.org/package=aif360

Community Evaluation

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AI Dev Skills

Unmapped

Algorithmic FairnessBias Detection and MitigationCausal Inference for FairnessDataset Bias AnalysisDemographic Parity AnalysisEqualized Odds OptimizationFairness Metrics DevelopmentIn-processing Fairness ConstraintsModel Fairness EvaluationPost-processing Fairness CorrectionPre-processing Bias MitigationStatistical Parity Methods

Tags

Algorithmic FairnessBias Detection and MitigationCausal Inference for FairnessDataset Bias AnalysisDemographic Parity AnalysisEqualized Odds OptimizationFairness Metrics DevelopmentIn-processing Fairness ConstraintsModel Fairness EvaluationPost-processing Fairness CorrectionPre-processing Bias MitigationStatistical Parity MethodsC++Curated ListData ScienceForkedHealthcare AIMachine LearningPythonResearch / PapersTensorFlowTutorial

Taxonomy

AI Trends

AI SafetyResponsible AIAI EthicsAI Governance

category

Learning ResourcesModel TrainingIndustry: HealthcareData Science & Analytics

Deployment Context

Self-hostedOn-premiseCloud API

Industries

FinTechHealthcareLegal TechHuman ResourcesInsuranceGovernmentEducation

Modalities

Tabular

Skill Areas

Algorithmic FairnessBias Detection and MitigationFairness Metrics DevelopmentDataset Bias AnalysisModel Fairness EvaluationStatistical Parity MethodsEqualized Odds OptimizationDemographic Parity AnalysisCausal Inference for FairnessPre-processing Bias MitigationIn-processing Fairness ConstraintsPost-processing Fairness Correction

tag

C++Curated ListData ScienceForkedHealthcare AIMachine LearningPythonResearch / PapersTensorFlowTutorial

Use Cases

Credit Scoring Bias DetectionHiring Algorithm Fairness EvaluationHealthcare Outcome Equity AnalysisCriminal Justice Risk AssessmentInsurance Premium FairnessEducational Assessment Bias MitigationLoan Approval Fairness Testing

Recent Activity

Updated 11 months ago

7 Days

0

30 Days

0

90 Days

0

Quality

production
Quality
high
Maturity
production

Categories

Learning ResourcesPrimaryIndustry: HealthcareData Science & AnalyticsModel TrainingHealthcare & BiologySearch & KnowledgeOther AI / ML

PM Skills

Data & Evaluation

Languages

Python100.0%

Timeline

Project created
Aug 22, 2018
Forked
Mar 21, 2026
Your last push
11 months ago
Upstream last push
11 months ago
Tracked since
Nov 13, 2025

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