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Responsible Scaling Policies (RSPs) - METR

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We’ve been consulting with several parties1 on responsible scaling2 policies (RSPs). An RSP specifies what level of AI capabilities an AI developer is prepared to handle safely with their current protective measures, and conditions under which it would be too dangerous to continue deploying AI systems and/or scaling up AI capabilities until protective measures improve. We think that widespread adoption of high-quality RSPs (that include all the key components we detail below) would significantly reduce risks of an AI catastrophe relative to “business as usual”. However, we expect voluntary commitments will be insufficient to adequately contain risks from AI. RSPs were designed as a first step safety-concerned labs could take themselves, rather than designed for policymakers; we don’t intend them as a substitute for regulation, now or in the future.3 This page will explain the basic idea of RSPs as we see it, then discuss: Why we think RSPs are promising. In brief (more below): What we

Responsible Scaling Policies (RSPs) - METR Our Work Research Notes Updates Risk Assessment About Donate Careers Language English Español 中文 Search --> Our Work Research Notes Updates Risk Assessment About Donate Careers English Español 中文 English Español 中文 Menu × Responsible Scaling Policies (RSPs) CONTRIBUTORS Beth Barnes , Hjalmar Wijk , and Lawrence Chan DATE September 26, 2023 SHARE Copy Link Citation BibTeX Citation × @misc { metr-2023-rsp , title = {Responsible Scaling Policies (RSPs)} , author = {Beth Barnes, Hjalmar Wijk, Lawrence Chan} , howpublished = {\url{https://metr.

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