PAPER 7: QUALITY ASSURANCE AT COGNITIVE SCALE - ASSESSMENT METHODS AND COMPRESSION METRICS; 10-Paper Series on Compressed Communication & Cognitive Acceleration; Paper 7 of 10: Assessment Methods & Quality Verification
Year: 2025
Type: article
Abstract: Comprehensive assessment framework for RRC-AI System Writing quality assurance addressing measurement of compression quality rigorously. Multi-dimensional approach integrating: Compression metrics (ratio, density, efficiency), Semantic fidelity (AI embedding similarity, human judgment rubric, material fact preservation), Accessibility (reading ease, clarity, comprehensibility), Professional acceptance (expert judgment), Practitioner competency. Documents that high compression does NOT correlate with fidelity loss—best practitioners maintain 90%+ fidelity at 20:1+ compression. Establishes quality thresholds: 90% semantic fidelity minimum (85% for accessibility-prioritized domains). Provides rubrics applicable across domains. Validates metrics on 50 texts showing strong reliability and validity.
Author: Chalupka, Rafal
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7104469955
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