Academic Collaborations
GPTfake collaborates with universities, AI-ethics labs, and policy-research institutes that study AI censorship, bias, and transparency. Because we are independent and not funded by any AI lab, our open data and documented methodology are well suited to peer-reviewed academic work.
Last updated: 2026-06-16.
Ways to collaborate
- Data access — request access to our open datasets: daily monitoring exports, historical trends, prompt libraries, and response classifications.
- Joint studies — propose collaborative research; we can provide custom data cuts and methodology support.
- Peer review — review and challenge our monitoring methodology; we welcome scrutiny.
- Citation — cite our datasets and publications in your work, each with a stable URL.
Who we work with
- Universities conducting AI-ethics and governance research
- Digital-rights organizations
- Policy-research institutes
- Independent academic reviewers
All collaborations operate under our reproducibility and transparency standards. Methods are public, data is open, and findings are open to peer review.
Get in touch
To start an academic collaboration, contact us. See also industry collaborations.
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