# IBM AI Fairness 360: how AI models rank it, October 2026

IT AI Recommendation Index, October 2026 Edition. Named in 4 judge labels across 1 categories by 3 of 14 models. Page: https://it-ai-index.com/vendors/ibm-ai-fairness-360/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| AI governance platforms | 0% | 61 | 25% | 4 |

## What the models said for it

- "If you need to start with free tools, IBM AI Fairness 360 and Google Model Cards are excellent for specific aspects" (Mistral Small, AI governance)
- "Free bias detection, explainability (integrates with Python frameworks)." (Grok 4.1 Fast, AI governance)

## And against it

- "Cited as an example of a "faulty fix." Measurement methods were unsuitable outside original contexts, lacking quality assurance." (Grok 4.1 Fast, AI governance)

## In its own words

What IBM AI Fairness 360's own pages state, read 2026-10-06. Stated by the vendor, not checked by the index.

- Customers named: KPMG, IBM HR, the US Open

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, October 2026 Edition, it-ai-index.com.