Loading
Let AI tools that improve as they learn be used under close supervision in a few hospitals, with pre-agreed rules for what changes are allowed and how they are checked.
Regulation assumes a frozen model; models that update on new data are effectively unapprovable, so deployed models age. The FDA's predetermined change control plan is a step. The proposal is a formal sandbox: a small number of sites, a pre-specified envelope of allowed updates, mandatory shadow evaluation of each update on sequestered data before activation, full audit logs, and a regulator seat at the table, generating the evidence needed to write general rules for adaptive AI.
Shares AI that is built but not validated or deployed, Regulatory divergence between regions.
Shares AI that is built but not validated or deployed, Regulatory divergence between regions.
Shares AI that is built but not validated or deployed, Regulatory divergence between regions.
Shares AI that is built but not validated or deployed, Regulatory divergence between regions.
Shares AI that is built but not validated or deployed, Regulatory divergence between regions.
Shares AI that is built but not validated or deployed, Regulatory divergence between regions.