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EU AI Act · Article 4 active · Article 50 from 2 Aug 2026 · high-risk rules transition through 2027–2028
AI Act Navigator
Directory/Fairlearn
Source-checked profile

SOFTWARE INTELLIGENCE PROFILE

Fairlearn

AI Evaluation & Testing

Open-source Python framework providing fairness metrics, disparate impact mitigation algorithms, and comparative fairness dashboards.

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HeadquartersRedmond, USA
Starting priceOpen Source / $0
Last verified9 Oct 2026Source-checked profile
Source evidence2 recordsAutomated monitoring
PROFILE SNAPSHOT

What this platform provides

2 source records available

Open-source Python framework providing fairness metrics, disparate impact mitigation algorithms, and comparative fairness dashboards.

PROVIDEROpen Source / $0

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CUSTOMER FIT

Deployment & technical profile

Hosting / residency signalOpen Source Standard
DeploymentPython Library / Standalone
APIAvailable
Python SDKAvailable
On-premiseAvailable
Customer fitData Scientists Auditing Demographic Disparities in Predictive Models

Recorded export formats: Fairness Metric Report, JSON, Jupyter Plot

PROFILE QUALITY

Profile completeness & evidence signals

100/100 completeness
Evidence completeness100%
Technical readiness signalStrong
Requirement mappings3
Editorial stateNo review flag recorded

These are transparent catalogue signals used for discovery and prioritisation. They do not establish legal compliance, procurement suitability or endorsement.

CAPABILITIES

Operational capabilities

testing-monitoringhigh-risk-readinessdata-governance
REGULATORY MAPPING

Relevant compliance capabilities

These are Navigator's recorded capability mappings, not a statement that the vendor itself makes an AI Act compliance guarantee.

  • Article 10 (Data Bias Mitigation)
  • Article 15 (Accuracy and Parity Metrics)

Recorded active / current scope

  • Demographic Parity & Equalized Odds Benchmarks

Recorded prepare / transition scope

  • Article 10 Bias Mitigation Proof Dossiers
LIMITATIONS

Recorded limitations

  • Developer library without non-technical corporate audit interfaces
ASSURANCE SIGNALS

Evidence & standards

Labels below are separated by evidence type. A standard, framework, product capability or hosting note is not presented as a certification.

Certifications & attestations

No certification or attestation recorded.

Standards & frameworks

No standards/framework evidence recorded.

Other recorded evidence

Open Source Initiative
Verification methodTechnical Documentation Review
ConfidenceHigh
Source records2
PROVENANCE

Evidence trail

Source-checked profile

Automated monitoring records source availability and change signals. Non-material changes may be automatically assured; material regulatory, certification, commercial or technical changes remain subject to editorial confirmation.

  • ok — https://fairlearn.org/ (checked 2026-10-09)
View recorded source URLs
Editorial & legal scope

This profile is informational and based on source information recorded in the Navigator dataset. “Source-checked” describes the Navigator's editorial/data process; it is not a legal certification, conformity assessment, endorsement, or guarantee of regulatory compliance.

Framework reference: Regulation (EU) 2024/1689 · Profile reviewed: 9 Oct 2026

Read the methodology →