AI Risk Atlas Prototype/DemoUnofficial independent experiment. Not an official xAI product. Scores can be wrong.

Back to mitigations
In progressOn the path to acceptable

Mandatory, model-aware synthesis screening

Providers screen against both known pathogens and model-generated obfuscations. No screen, no ship.

$12M experimental capital · 2 sources

Who should own it
Synthesis industry and states
Regulators
How quickly it can land
Months
A planned program, one to two quarters.
Expedited implementation
2 months
60 calendar days with a crash team
Normal implementation
6 months
180 calendar days as a planned program

Risk this mitigates

19
Biosecurity enablement by foundation models

Given that peer-reviewed work claims models can author viral genomes, not merely analyse them, while some frontier labs have dissolved dedicated preparedness staff, there is a possibility of a capable actor using a general model to design, order, or troubleshoot a biological threat resulting in a high-consequence biological event whose know-how no longer required a national laboratory.

Residual composite 19 · still above the threshold

Effect if implemented

Applied to every failure scenario on that risk, then re-ranked. Axes are clamped at 1.

Likelihood
1
Consequence
1
Urgency
0