Societal adaptation

Compute goverance

Regulate companies in the highly concentrated AI chip supply chain, given AI chips are key inputs to developing frontier AI models.

Data input controls

Filter data used to train AI models, e.g. don’t train your model with instructions to launch cyberattacks.

Licensing

Require organisations or specific training runs to be licensed by a regulatory body, similar to licensing regimes in other high-risk industries.

On-chip governance mechanisms

Make alterations to AI hardware (primarily AI chips), that enable verifying or controlling the usage of this hardware.

Safety cases

Develop structured arguments demonstrating that an AI system is unlikely to cause catastrophic harm, to inform decisions about training and deployment.

Evaluations (aka “evals”)

Give AI systems standardised tests to assess their capabilities, which can inform the risks they might pose.