The Principle of Final Human Ratification: An Architecture of Responsibility for Algorithmic Decision-Making

This working paper proposes the Principle of Final Human Ratification as a normative framework for the governance of algorithmic decision-making systems in critical domains, including rights, health, education, access, liberty, and the inclusion or exclusion of individuals. The principle establishes that no automated or algorithmic decision with significant human impact can be considered legally valid without the explicit ratification of an identifiable human subject who assumes responsibility for the decision. This paper is intended as a foundational contribution to legal, ethical, and institutional debates on artificial intelligence governance. A version of this work is intended for submission to SSRN.