Governments should implement mandatory safety testing and certification requirements for AI systems above certain capability thresholds.
The goal is to enable beneficial AI development while preventing catastrophic risks.
Mandatory safety testing would create accountability and standardized benchmarks for AI safety.
This approach has successfully balanced innovation and safety in pharmaceuticals, aviation, and automotive industries.
Is there a better alternative than A to achieve G?
Is A feasible for the agent (ability, resources, time)?
Is the goal/value G explicit and acceptable?
Will doing A actually achieve G in the present context?
Is doing A permissible/appropriate given norms or constraints?
Do negative consequences of A outweigh achieving G?