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.
Rashon Rahming (Sat,) studied this question.
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