We’re Failing to Evaluate How Biologists Could Misuse AI
Argues that AI biorisk evaluations focus on novices while expert biologists with AI assistance could pose greater misuse risks, and that this gap needs addressing.
Research / Sources
AI Frontiers
Expert essays on AI safety, policy and governance. ai-frontiers.org
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Topic Evals & standards
Date Any time
We Need Better Infrastructure to Govern AI Agents
Proposes governance infrastructure for autonomous AI agents, including agent IDs, post-deployment model cards, legal personhood tradeoffs, and financial-system affordance regulation to contain rogue agents.
We Don’t Need to Wait for an AI Disaster to Estimate Its Costs
Argues that US policymakers should adapt the TRIP terrorism-insurance data call to estimate and manage catastrophic risks from frontier AI, using scenario-based insurer pricing exercises.
An International AI Slowdown Is Ready Whenever Politicians Are
Argues that the US and China could enable an international AI slowdown now by giving auditors comprehensive access to major AI companies, rather than waiting for futuristic verification technology.
Don’t Let AI Developers Hire Their Own Referees
Argues against letting AI developers choose their own safety auditors, and examines private verification-organization and regulatory-market proposals for frontier AI, including the FRONTIER Act and California's SB 813.
The Government Is Choosing AI Models. Who Chooses Their Values?
Argues that governments adopting AI should measure how deployed models' values and reasoning compare with the public's, and proposes an independent body to assess and justify divergences.
The Hidden AI Frontier
An opinion piece arguing that frontier AI models kept private inside labs pose hidden dual-use risks, and calling for transparency and third-party oversight of these systems while protecting them from theft.
Avoiding an AI Arms Race with Assurance Technologies
Argues that international AI agreements need technical assurance technologies so rival nations can verify compliance, reducing the assurance dilemma that drives an AI arms race and risks from frontier AI.
Smokescreen: How Bad Evidence Is Used to Prevent AI Safety
Argues that AI safety policy depends on trustworthy evidence, and that flawed benchmarks and corporate influence undermine it, so structural reforms for transparency and accountability are needed.