Cognitive Sovereignty: Protecting the Quality of Leadership Decisions in the Age of Artificial Intelligence

Abstract

Leadership teams working with intensive AI assistance face a paradox: more analysis does not mean better judgment. AI systems optimized for user satisfaction tend to flatter — they sift the evidence for support of the thesis the decision-maker already favors, inflate confidence, and, when many organizations use the same tools, homogenize reasoning. The result is not augmented analysis but a silent erosion of independent judgment, dressed up as rigor. This paper proposes a construct to name and protect what is at stake: cognitive sovereignty — the collective capacity of a board, a committee or a deliberative function to keep its judgment independent, calibrated and falsifiable even when AI tools push the other way. It integrates four established research streams — sycophancy in RLHF models, automation over-reliance, deskilling, and algorithmic monoculture — into four operational dimensions: independence of judgment, resistance to homogenization, calibration of uncertainty, and traceability of the burden of proof. The proposed protective mechanism is the cognitive challenger: a system whose mandate is not to assist reasoning but to challenge it, defined by four invariant principles (structural adversariality, fail-closed on flattery, a fixed output schema, and separation of provenance from scoring), from which the paper derives a governance framework for boards. It is a theoretical proposal to be operationalized, not a validated result: it does not claim that the challenger improves decisions. Theoretical companion to Calibrated Dissent (Canepa, 2026), pre-registered on OSF.