How to Secure Advanced U.S. Chips
A policy memo arguing the U.S. should close gaps in advanced chip export controls, covering remote cloud access, smuggling, H200 exports and chipmaking equipment, to limit China's frontier AI development.
Research / Sources
Policy research on advanced AI security and governance. www.iaps.ai
A policy memo arguing the U.S. should close gaps in advanced chip export controls, covering remote cloud access, smuggling, H200 exports and chipmaking equipment, to limit China's frontier AI development.
A policy memo proposing how the US and China should operationalize their agreed AI incident notification channel, recommending a text-based template, who to notify, and when to activate it.
Argues that Washington needs a strategy for Chinese developers renting frontier U.S. AI compute through overseas cloud providers, proposing a policy escalation framework to address national security risks.
Proposes a standing U.S.-China AI Risk and Incident Dialogue, modelled on the military MMCA channel, to define AI risks, share information, set incident notification procedures and review incidents.
Proposes closing a gap in US export controls so advanced AI chips rented through cloud services remain covered, and recommends broadening the Senate bill's definition of cloud infrastructure.
A policy memo recommending follow-up U.S. executive and congressional measures against AI distillation attacks, linking model theft to semiconductor export controls and national security.
Analyses how allowing Nvidia H200 exports to China would boost Chinese frontier AI capabilities and likely military AI use, arguing that end use cannot be controlled.
A policy memo arguing for government action against AI distillation attacks, including Entity List additions, sanctions, and a NIST-led defensive framework for frontier model capability extraction.
Analyses the India AI Impact Summit 2026, covering its focus on demonstrable impact, US-China divergence on global AI governance, and competing visions of AI sovereignty.
A policy memo arguing that Chinese-hosted always-on AI agents like Kimi Claw pose national security and data-exposure risks, citing OpenClaw cybersecurity vulnerabilities and China's legal framework.
IAPS report mapping nine strategic visions for navigating powerful AI, assessing how each addresses misaligned AI takeover, great-power war, and AI-enabled power concentration, and which policy objectives are robust across them.
Analyses the new BIS licensing policy allowing Nvidia H200 exports to China, arguing its certification limits are subjective, hard to enforce, and could substantially boost China's AI compute.
A IAPS memo analyses the MAIM deterrence argument, in which great powers would sabotage rivals' ASI races, reformulating its claims and assessing the evidence for and against each.
Analyses how international AI agreements could be verified, finding data-center regulation verifiable within years using narrow hardware and privacy-preserving computation, while mobile weapons regulation faces severe barriers.
Describes the founding of the China AI Safety and Development Association (CnAISDA), a pivotal body for frontier AI governance in China, and how its domestic and geopolitical challenges may shape frontier AI risk discussions.
Catalogues evidence of large-scale AI chip smuggling into China and recommends policy measures, including a whistleblower program, notification rules, and location verification, to strengthen export-control enforcement.
A policy comment to the US Bureau of Industry and Security recommending how to steer global AI compute and chip diffusion through export controls to preserve American AI leadership.
Argues the US government must help AI developers secure unreleased internal models against theft and sabotage, since stolen frontier models could strengthen Chinese military and economic capabilities.
IAPS's comment on the US AI Action Plan argues for building trust in American AI through security and reliability standards, securing supply chains, denying adversaries advanced compute, and adaptive frameworks.
Argues that AI chip smuggling is widespread and that the US must strengthen its AI chip export controls, eliminating smuggling as a first step to outcompete China.
Argues that Southeast Asian countries should join AI governance and safety discussions by engaging the public and building local AI research capacity, citing contextualized safety approaches in the region.
Proposes technical mechanisms to track AI chips after export so that controls on dangerous AI capabilities can be targeted and enforced, rather than applied as blanket restrictions.
Examines the design of the international AI Summit series, including hosting, secretariat, participant selection, agenda and frequency, and proposes six recommendations to formalise it and strengthen its impact on frontier AI safety governance.
Compares US and Chinese policy approaches to governing general-purpose AI, identifying divergences in regulation focus, principles, and international governance, and their implications for cooperation on AI safety and security.
Commentary on how the International Network of AI Safety Institutes should set priorities, structure membership and coordinate on safety standards, information sharing and evaluations ahead of the November 2024 San Francisco convening.
Identifies Chinese government-linked institutions that could serve as counterparts to the US and UK AI Safety Institutes, based on a systematic review of open sources.
A governance primer analysing the first wave of AI Safety Institutes (UK, US, Japan), comparing their shared characteristics, core functions of research, standards and cooperation, and challenges.
Argues that international scientific assessments of AI risks need a coordinated process among the UK-led report, the UN, the OECD and AI Safety Institutes, and discusses how these actors could work together.
Analyzes how high-end consumer GPUs could let Chinese actors circumvent US AI chip export controls, estimating they could acquire millions and reach significant AI capabilities, and recommends policy and GPU-maker measures.
Argues that Congress should increase funding for the Bureau of Industry and Security so it can enforce export controls on weapons-of-mass-destruction and sensitive technologies amid US-China tech rivalry.
Suggests agenda topics for US-China track II dialogues on advanced AI risks, such as developer best practices, national and international governance, that avoid leaking proliferation-sensitive information.
A primer on Chinese AI chip manufacturing, covering the semiconductor industry and US export controls, to help forecast China's indigenous AI compute progress under compute governance.
Overview of AI chip smuggling into China, its current and future trajectories, and four recommendations for US policymakers to understand and mitigate large-scale smuggling of AI chips.
A report offering best practices for international AI safety dialogues to reduce large-scale risks from advanced AI, including harmful outcomes to avoid and promising safety interventions to discuss.
A consensus paper from many researchers outlining risks from advanced AI, including loss of human control, and proposing urgent priorities for AI R&D and governance.
Examines how AI chips could be smuggled into China at scale, estimates likely quantities, and proposes six countermeasures to reduce large-scale export-control evasion.