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AI Assessment Governance Resources
Assessment governance defines what evidence is trusted when AI can generate polished outputs.
Authority map
Governance should be an evidence workflow.
Schools, universities, and enterprises need rules for AI use, transparency, review, and high-stakes interpretation.
QLM supports governance through assessment conversion, process evidence, simulation assessment, and visible limitations.
Topic clusters
Resource index
Explore the QLM authority graph.
Enterprise authority hubAI Assessment GovernanceQLM helps institutions govern AI-era assessment with evidence standards, transparency, review workflows, and defensible performance signals.GlossaryAssessment GovernanceAssessment governance defines trusted evidence, AI-use transparency, review workflows, and decision rules.GlossaryAI-Use TransparencyAI-use transparency asks learners to disclose, explain, and defend how AI supported their work.Higher educationAssessment IntegrityQLM helps colleges and universities redesign assessment integrity around process, reasoning, and transparent AI use.Category hubAssessment Conversion StudioQLM Assessment Conversion Studio helps educators redesign traditional assignments into simulation-based, process-based performance assessments.Enterprise use caseCompliance SimulationsQLM helps compliance training move from policy acknowledgement to scenario-based evidence of judgment.ResearchAssessment ReformA QLM research brief on assessment reform, AI-era integrity, process evidence, and simulation-based assessment.ComparisonQLM vs AI Detection ToolsA fair comparison of AI detection tools and QLM assessment conversion for schools and universities.
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