The AI responsibility layer
Responsibility begins where output stops. The AI responsibility layer is the human layer of AI: the part of a system where consequences are interpreted, owned and carried. It cannot be delegated to the model, to the interface or to the process. It is a position a person takes in relation to a decision and its downstream effects.
Not a workflow step
Responsibility is not a checkbox at the end of a generation. It is the readiness to be answerable for what the output becomes once it leaves the screen.
Why it must stay human
Consequence requires interpretation. Interpretation requires context, memory and stake — none of which a model holds.
Designing for it
Systems that take the human layer of AI seriously make responsibility visible: who decided, on what basis, against what alternative, with what reversibility.