AI-assisted governance
The use of AI for research, analysis, deliberation, administration, monitoring, or decision support inside institutions whose legitimate human authority remains intact.
Glossary
The initial glossary is grounded in the current NousPolis architecture and study guide. During manuscript import, every entry will be reconciled against the textbook’s canonical wording and linked to the chapters where it is introduced.
The use of AI for research, analysis, deliberation, administration, monitoring, or decision support inside institutions whose legitimate human authority remains intact.
The ability to inspect important evidence, transformations, disagreements, procedural steps, authorizations, and outputs after the fact.
The capacity for affected people, reviewers, or institutions to challenge claims, evidence, procedures, classifications, or recommendations.
Power over the classifications and definitions that determine which safeguards, procedures, and authority boundaries apply.
An analytical assessment, research result, forecast, normative map, or AI-panel recommendation that contributes knowledge without itself constituting an authorized public decision.
A controlled process for determining impact, materiality, urgency, and safeguard triggers rather than leaving those labels to ad hoc model judgment.
An identifiable, legitimate human authority accepting, rejecting, modifying, or overriding a recommendation where consequential action requires authorization.
The staged level of authority, enforcement, independence, legitimacy, and operational readiness an AI-assisted governance system has actually achieved.
The Model Intelligence and Routing System used to select task-appropriate models while considering capability, reliability, cost, privacy, resilience, and epistemic diversity.
A governance condition in which review, assurance, witnessing, or authorization is controlled by a genuinely separate principal rather than the same actor whose work is being evaluated.
Power over framing, routing, panel construction, aggregation, stopping conditions, workflow order, and what gets recorded.
Recorded information showing where evidence, claims, model outputs, transformations, and decisions came from and how they changed through the workflow.
A political and institutional order that deliberately improves collective reasoning with advanced computational tools while keeping legitimate political authority, rights, and accountability human-governed.
The ability of later reviewers to reconstruct what problem was posed, what evidence was admitted, which assumptions and participants shaped the process, what dissent existed, who had authority, and what happened afterward.
Power over the actual answer, recommendation, or policy position produced by a governance process.