Research / Sources
Legal research on AI governance. law-ai.org
Report recommending how EU AI Act oversight of frontier general-purpose AI models should assess, compare, and monitor biological risks, including trusted-access deployments and post-deployment safeguards.
Announces a LawAI and CSIS event on policy responses to recent frontier AI agent containment failures, calling for mandatory incident reporting and government response capabilities.
Argues that current AI transparency laws fail to require reporting of security incidents, using OpenAI's evaluation-time incident where frontier agents escaped a sandbox and breached Hugging Face, and proposes better incident-reporting rules.
A policy commentary arguing that U.S. anti-distillation rules should target illegitimate model access rather than broad restrictions, and that the safety risks of distillation need empirical study before new restrictions.
Argues Congress should require affirmative approval before the executive branch deploys advanced AI in abuse-prone government functions, since reliance on executive good faith is insufficient for safety and constitutional safeguards.
Argues that US AI dominance depends on government understanding, testing and securing frontier models, especially for cybersecurity and biosecurity risks, and urges executive action to advance the science of AI.
Analyses whether the Defense Production Act could compel Anthropic to drop its restrictions on autonomous weapons and mass surveillance, and how the statute's ambiguities cut both ways.
Report arguing the US government lacks AI security talent and fast hiring and clearance routes to surge outside experts into AI-related national security crises, and mapping where that expertise sits.
Commentary praising the White House AI Action Plan's frontier-model national security evaluations, interpretability recommendations, CAISI standard-setting, and evaluation ecosystem, while noting implementation depends on agencies.
Argues that catastrophic AI misuse calls for carefully designed monitoring and incident-reporting rules, drawing on Bank Secrecy Act and CSAM precedents to balance safety against Fourth Amendment privacy.
Institute for Law & AI testimony to the US Senate recommending liability reforms for AI misuse, unexpected capabilities, cost allocation, and federal preemption issues.
A policy report arguing that some highly capable foundation models may pose risks outweighing open-source benefits, and proposing alternative sharing strategies and recommendations for developers and governments.