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LATHICAI Glossary

AI Safety & Responsible AI

AI preparedness framework

A plan linking tests of powerful AI abilities to steps for managing the risks they reveal.

Example

A developer sets extra precautions for AI that reaches specified abilities.

Why people use it

It links testing of advanced AI abilities with decisions about safeguards.

What you'll hear

“What happens if the next system reaches this capability?”

What this means for you

Check whether the promised precautions are actually taken when tests call for them.

Can you control it?

Sometimes

Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.

Common questions

Does a published framework establish that every risk is controlled?
No. Implementation and evidence matter as well as the document.
Can different developers use different thresholds?
Yes. Frameworks can differ in what they test and which results trigger action.
Should the framework change as evidence changes?
It may need updating when capabilities, risks or testing methods develop.

Related terms

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