opening-up-chatgpt/opening-up-chatgpt.github.io

Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

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This project helps researchers, policymakers, and ethicists evaluate the transparency and accountability of instruction-tuned large language models (LLMs). It takes information about an LLM project (like its code, training data, and documentation) and provides a systematic assessment of its 'openness' across various criteria. This allows users to understand the degrees of transparency in different generative AI models.

119 stars. No commits in the last 6 months.

Use this if you need a structured way to compare the openness, transparency, and accountability of different large language models.

Not ideal if you are looking for a list of open-source LLM alternatives to use or interact with directly.

AI ethics LLM evaluation responsible AI computational linguistics research AI policy
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

119

Forks

7

Language

Python

License

Apache-2.0

Last pushed

Mar 11, 2025

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