The Rahmn Standard: A Unified Measurement Framework for Economic Value and Cognitive Capability in the Autonomous Age
The two most transformative technologies of the 21st century—decentralized digital economies and artificial intelligence—operate without a coherent, universal measurement framework. Digital systems lack a stable, non-arbitrary unit of account anchored to durable human value, while AI systems are evaluated using fragmented and incompatible benchmarks that fail to capture cross-domain capability or safety-relevant dimensions. This white paper introduces the Rahmn Standard, a unified dual-measurement framework designed to address both deficiencies. The framework comprises (1) the Rahmn Economic Unit (R), defined as the economic value of one global, quality-adjusted hour of median human labor, computed through a transparent, purchasing-power-parity-adjusted index, and (2) the Rahmn Intelligence Unit (Ri), defined as median adult human cognitive capability measured across a standardized, multi-dimensional battery of nine core intelligence dimensions, including mandatory ethical and wisdom components. Together, these units establish a human-centered, stable, and substrate-independent system for measuring value and intelligence across both biological and artificial systems. The paper further presents supporting infrastructure, including periodic classification systems for value and intelligence, a verification architecture based on decentralized identity and verifiable credentials, governance mechanisms ensuring long-term invariance, and alignment with emerging regulatory frameworks. Positioned as public-good infrastructure, the Rahmn Standard offers a foundational measurement language for the autonomous, intelligence-driven global economy.
Authors
- Rashon Rahming (ORCID: https://orcid.org/0009-0004-4305-2596)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-25
- DOI
- https://doi.org/10.5281/zenodo.19764032
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00