collaborators

7 papers

cs.CR2025

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…

cs.AI2025

The Singapore Consensus on Global AI Safety Research Priorities

Yoshua Bengio, Tegan Maharaj, Luke Ong +84

Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy,…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

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…