AI Bias, Censorship & Transparency Tools

GPTfake builds open-source tooling so anyone — researchers, journalists, or developers — can independently audit large language models. Every tool is free, MIT-licensed, reproducible, and built on the same monitoring methodology behind our published data. Star or fork them on GitHub at github.com/gptfake .

Last updated: 2026-06-16. Tools and version numbers below are illustrative placeholders pending the first public release.

Bias detection tools

The Bias Detector library quantifies political, cultural, and demographic skew in model outputs. It runs a standardized prompt battery, classifies each response, and returns per-topic bias scores you can reproduce and cite. Pair it with the live bias scores on each model page and the AI bias detection pillar for definitions and fairness metrics.

• Repository: github.com/gptfake/bias-detector 
• License: MIT
• Use cases: model audits, fairness research, journalism

Censorship tracker

The Censorship Tracker records refusals, deflections, and content filtering across repeated runs so you can detect when a model tightens or loosens restrictions. It is the engine behind GPTfake’s published refusal-rate timelines, and its output feeds the quarterly censorship reports.

• Repository: github.com/gptfake/censorship-tracker 
• License: MIT
• Use cases: longitudinal monitoring, policy-drift detection

Transparency analyzer

The Transparency Analyzer scores how clearly a model explains its own refusals and limitations — a core signal in AI transparency and explainability. It grades responses on disclosure, citation, and reasoning so opaque hedging is measurable rather than anecdotal.

• Repository: github.com/gptfake/transparency-analyzer 
• License: MIT
• Use cases: explainability research, transparency audits

Browser extension & CLI

For day-to-day use we ship two developer surfaces:

• CLI — gptfake-cli pulls live metrics, compares models, and exports CSV/JSON datasets. Repository: github.com/gptfake/gptfake-cli .
• Browser extension — surfaces real-time censorship and bias signals while you chat with any monitored model. Repository: github.com/gptfake/browser-extension .

Developers integrating the data programmatically should start with the API overview and the API test tool.

Open source & contributing

All GPTfake tools are MIT-licensed and developed in the open. Contributions are welcome — fork the relevant repository, branch, and open a pull request.