‘We must slow the pace’: CEO of Anthropic calls for an AI slowdown Anthropic CEO Dario Amodei issued a public appeal on Saturday for the AI industry to "slow down," proposing a three-part plan and committing Anthropic to the first step: giving third-party evaluators permanent, employee-level access to its systems to verify safety measures, report incidents, and assess model alignment during training. Amodei outlined the plan in a social media post linking to an essay titled "We Must Pace the Frontier. ‘We must slow the pace’: CEO of Anthropic calls for an AI slowdown The Guardian Technology https://www.theguardian.com/us/technology In a social media post, Dario Amodei proposed a plan including third-party evaluations of AI systems The CEO of the artificial intelligence /glossary/artificial-intelligence company Anthropic https://www.theguardian.com/technology/anthropic issued a new appeal on Saturday for the AI https://www.theguardian.com/technology/artificialintelligenceai industry to “slow down” and offered a three-part plan for doing so, saying that his company would “unilaterally” commit to the first of the steps. In a post on social media, https://x.com/DarioAmodei/status/2098773920774074715?ref src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Etweet Dario Amodei shared a link to an essay titled We Must Pace the Frontier in which he lays out how Anthropic /glossary/anthropic would provide “third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training /glossary/training ”. Continue reading... https://www.theguardian.com/technology/2026/sep/12/we-must-slow-the-pace-ceo-of-anthropic-calls-for-an-ai-slowdown Get AI news in your inbox Daily digest of what matters in AI. Key Terms Explained Anthropic /glossary/anthropic An AI safety company founded in 2021 by former OpenAI researchers, including Dario and Daniela Amodei. Artificial Intelligence /glossary/artificial-intelligence The science of creating machines that can perform tasks requiring human-like intelligence — reasoning, learning, perception, language understanding, and decision-making. Training /glossary/training The process of teaching an AI model by exposing it to data and adjusting its parameters to minimize errors.