The Responsible Use documentation aims to guide developers in using language models constructively and ethically. Toward this end, we've published guidelines for using our API safely, statistics regarding the environmental impact of pre-training our language models, a discussion of our safety evaluation system, Safety Harness, as well as our processes around harm prevention. We provide model cards to communicate the strengths and weaknesses of our models and to encourage responsible use (motivated by Mitchell, 2019). We also provide a data statement describing our pre-training datasets (motivated by Bender and Friedman, 2018).
If you have feedback or questions, please feel free to let us know — we are here to help.