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The Responsible Use documentation aims to guide developers in using language models constructively and ethically. Toward this end, we've published Usage Guidelines for using our API safely, the Environmental Impact of pre-training our language models, as well as our processes around Harm Prevention. We provide model cards to communicate the strengths and weaknesses of our models (motivated by Mitchell, 2019). On each model card, we’ve described ethical considerations to encourage responsible use. We also provide a data statement, where we indicate the strengths, weaknesses, biases, statistics, and other factors relevant to our training and evaluation datasets (motivated by Bender and Friedman, 2018).

Model Cards:

Data Statements:

If you have feedback or questions, please feel free to let us know — we are here to help.