Operationalizing Responsible AI

Almost every organisation has AI principles and almost none can name a product decision that came out differently because of them. This cursus closes that gap. Why a value is not a decision rule, and the four things it needs before it binds: a named population, a chosen measurement, a threshold set in advance, and a consequence. Then the machinery, three gates rather than one launch review, checklists that produce decisions, and who can actually stop a launch. Then what happens after: detecting harms nobody in the organisation experienced, redress, and honest measurement.