Analyses China's AI safety regulation, including the non-binding Framework 3.0 on loss-of-control risks, CAC model filing gaps, content-focused enforcement, and a court opinion on developer liability.
AI GovernanceOpen Source AIRegulation and AI RiskAI
An essay defending Anthropic CEO Dario Amodei's proposal for coordinated frontier AI slowdown and regulation, arguing for embedded independent evaluators and distributed trust rather than trust in labs.
Analyses US federal statutes and executive powers that let the president unilaterally influence or control frontier AI companies, and the limits imposed by Congress and courts.
AI GovernanceFrontier AI CompaniesRegulation and AI RiskAI
An essay arguing that AI safety policy needs legal practitioners who can implement regulation, using GDPR's Data Protection Officer failures as a warning and describing efforts to train such people in AI safety.
AI Alignment FieldbuildingAI GovernanceRegulation and AI RiskAI
Analyses the EU GPAI Code of Practice as a legally enforceable frontier AI safety framework requiring threat modelling, external evaluations, safety officers, and incident reporting for AGI companies.
Proposes forecasting questions on frontier AI governance, including lab safety-commitment reneging, US third-party testing requirements for if-then commitments, and mandated deception audits, with operationalizations of CBRN thresholds.