Release Strategies and the Social Impacts of Language Models

August 24, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, Miles McCain, Alex Newhouse, Jason Blazakis, Kris McGuffie, Jasmine Wang arXiv ID 1908.09203 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.CY Citations 785 Venue arXiv.org Last Checked 2 months ago
Abstract
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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