…Future models will be exponentially more capable, and therefore have commensurately greater implications for the national security interests of the US and other democracies. Neck-and-neck competition risks disincentivizing responsible AI…
…15 The riskiest clusters—again, many of which we expect to be evaluations—tended to involve sensitive security-related actions, financial transactions, and medical information. While risk is concentrated at the low…
…Bernanke. “Anthropic has created a unique governance structure to try to ensure that the long-run benefits of AI for humanity far outweigh the risks. I am honored to have this opportunity…
…Anthropic is a Public Benefit Corporation —it’s our mission to secure the benefits of advanced AI models and mitigate their risks. That public benefit mission has led us, for example, to…
…Common examples of costs include pollution from factories, systemic financial risk from banks, and national security risks from weapons manufacturers. Examples of positive spillover effects include the societal benefits of education that…
…5 reduced average vulnerability intake time for our Hai security agents by 44% while improving accuracy by 25%, helping us reduce risk for businesses with confidence.” According to Sven Krasser, Senior Vice…
…As we describe below, the model’s safeguards are not expected to block all low-risk routine cyberdefense capabilities—just those that are potentially harmful. Researchers from the US Department of Commerce…
…The Safeguards work we describe above is essential to managing the dual-use risk this creates. Looking ahead, both we and the broader security community will need to grapple with an uncomfortable…
…Being able to do this opens up a large surface over which AI could contribute to the economy, but likewise opens up a new area of risk. A key reason why Anthropic…
…to the same security standard as any other system our models run in. A cyber evaluation range that contains only fictional scenarios may appear to be low-risk—after all, nothing inside…