Expand where support exists
Grant more AI responsibility where demonstrated competence and operating support are strong enough for the way outputs are used.
DCP message test
Where has AI earned enough trust to take on more responsibility?
Model approval does not establish sufficient operating support for every task, case, context, or use. The relevant question is where the organization has enough empirical basis to grant AI more responsibility and where that responsibility should contract.
TRUST
Decision Control
Decision Control makes AI responsibility conditional on the operating state.
DCP helps establish the level of AI responsibility appropriate to the actual task, context, operating support, consequence, and economics.
Contract when conditions change
Reduce AI responsibility when the case, context, consequence, or operating support moves outside what has been sufficiently demonstrated.
Discuss one AI workflow
Bring one consequential workflow. We can examine where AI responsibility can expand and where it should not.