6 papers · 1 filter
Embedded Off-Switches for AI Compute
James Petrie
To address the risks of increasingly capable AI systems, we introduce a hardware-level off-switch that embeds thousands of independent "security blocks" in each AI accelerator. Thi…
International Security Applications of Flexible Hardware-Enabled Guarantees
Onni Aarne, James Petrie
As AI capabilities advance rapidly, flexible hardware-enabled guarantees (flexHEGs) offer opportunities to address international security challenges through comprehensive governanc…
Flexible Hardware-Enabled Guarantees for AI Compute
James Petrie, Onni Aarne, Nora Ammann +1
As artificial intelligence systems become increasingly powerful, they pose growing risks to international security, creating urgent coordination challenges that current governance…
Technical Options for Flexible Hardware-Enabled Guarantees
James Petrie, Onni Aarne
Frontier AI models pose increasing risks to public safety and international security, creating a pressing need for AI developers to provide credible guarantees about their developm…
Hardware-Enabled Mechanisms for Verifying Responsible AI Development
Aidan O'Gara, Gabriel Kulp, Will Hodgkins +7
Advancements in AI capabilities, driven in large part by scaling up computing resources used for AI training, have created opportunities to address major global challenges but also…
Near-Term Enforcement of AI Chip Export Controls Using A Firmware-Based Design for Offline Licensing
James Petrie
Offline Licensing is a mechanism for compute governance that could be used to prevent unregulated training of potentially dangerous frontier AI models. The mechanism works by disab…