---
type: "Evidence Item"
title: "Making AI work for everyone, everywhere: our approach to localization"
description: "OpenAI shares its approach to AI localization, showing how globally shared frontier models can be adapted to local languages, laws, and cultures without compromising safety."
resource: "https://openai.com/index/our-approach-to-localization"
tags: ["appendix-iii", "vendor", "openai"]
timestamp: "2026-02-06"
category: "vendor"
publisher: "OpenAI"
cope_score: 36
confidence: 0.9
---

# Making AI work for everyone, everywhere: our approach to localization

# Claim

OpenAI shares its approach to AI localization, showing how globally shared frontier models can be adapted to local languages, laws, and cultures without compromising safety.

# Relevance

Appendix III, section two: vendor threshold and platform capability evidence

# Oracle Verdict

This is a low-signal vendor radar item. Keep it as context only unless a later benchmark, deployment, procurement change, or labour-market datapoint turns it into direct Appendix III evidence.

# Metadata

* Publisher: OpenAI
* Category: vendor
* Sector: Enterprise operations
* Capability: Frontier model release and benchmark movement
* Cope score: 36
* Confidence: 0.9

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Making AI work for everyone, everywhere: our approach to localization](https://openai.com/index/our-approach-to-localization)