AI Fairness 360
bCloud LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
AI Fairness 360 (AIF360) is an open-source Python toolkit developed by IBM for detecting, measuring, and mitigating bias in machine learning models. It enables developers and researchers to build fairer and more responsible AI systems by providing fairness metrics and bias mitigation algorithms across datasets and models.
Features of AI Fairness 360:
Show the rest of the publisher’s description (11 more lines)
- Provides a comprehensive set of fairness metrics to evaluate bias in datasets and ML models.
- Includes algorithms for preprocessing, in-processing, and post-processing bias mitigation.
- Supports integration with common Python ML frameworks such as scikit-learn, TensorFlow, and PyTorch.
- Offers ready-to-use datasets and examples for testing fairness interventions.
- Open-source and widely used in AI research, industry, and responsible AI initiatives.
To check the installed version of AIF360 in your environment:
$ sudo su
$ sudo apt update
$ source /opt/aif360_env/bin/activate
$ python -c "import aif360; print('AIF360 Installed Successfully:', aif360.__version__)"
Disclaimer: AI Fairness 360 is developed and maintained by IBM. It provides general-purpose fairness metrics and algorithms, but fairness depends on proper application and domain-specific considerations. Always refer to official documentation or the Python package repository for the most accurate and up-to-date information.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
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