Release Strategies and the Social Impacts of Language Models

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Recommended citation: Solaiman, Irene, et al. ‘Release strategies and the social impacts of language models.’ arXiv preprint arXiv:1908.09203 (2019). https://arxiv.org/abs/1908.09203

Summary: This report discusses OpenAI’s work related to the release of its GPT-2 language model. It discusses staged release, which allows time between model releases to conduct risk and benefit analyses as model sizes increased. It also discusses ongoing partnership-based research and provides recommendations for better coordination and responsible publication in AI.

Large language models have a range of beneficial uses: they can assist in prose, poetry, and programming; analyze dataset biases; and more. However, their flexibility and generative capabilities also raise misuse concerns. This report discusses OpenAI’s work related to the release of its GPT-2 language model. It discusses staged release, which allows time between model releases to conduct risk and benefit analyses as model sizes increased. It also discusses ongoing partnership-based research and provides recommendations for better coordination and responsible publication in AI.

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Recommended citation: Solaiman, Irene, et al. ‘Release strategies and the social impacts of language models.’ arXiv preprint arXiv:1908.09203 (2019).

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