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Other literature type . 2025
License: CC BY NC
Data sources: ZENODO
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Other ORP type . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY NC
Data sources: Datacite
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The Trace Economy A Global Framework for Epistemic Integrity Inclusive Innovation and Fiscal Renewal

Authors: Coupland, Stephen John;

The Trace Economy A Global Framework for Epistemic Integrity Inclusive Innovation and Fiscal Renewal

Abstract

This Whitepaper document presents the official global policy brief for the Trace Commons Foundation (in formation) — the institutional body that stewards the Trace Economy and Proof of Cognitive Work (PoCW) framework.It outlines how trace-logging transforms AI governance principles into enforceable, cross-jurisdictional practice through a free, open, and platform-agnostic system of authorship verification.The brief details national alignment pathways for the EU, UK, US, India, Japan, Singapore, Canada, Australia, and the African Union, demonstrating compliance integration, fiscal impact, and inclusive participation mechanisms. Key findings include: Structural resolution of AI-provenance gaps via timestamped human authorship. Projected USD 572 billion annual throughput, with ≈ 401 billion reinvested in verified public-good programs. Inclusion of under-utilised polymathic and neurodivergent populations as new productive contributors. A 4–6 % potential global GDP uplift through compliance-driven participation and reduced welfare dependency. The Trace Commons Foundation emerges as a self-funding epistemic infrastructure, converting transparency from a regulatory burden into a regenerative public-good economy.

Keywords

Inclusion, AI Governance, Global Policy, Trace Economy, Epistemic Integrity, Authorship Provenance, Sustainable Knowledge Economies, Neurodiversity, Trace Commons Foundation, Trace-Clean Data, Transparency, Proof of Cognitive Work (PoCW), Fiscal Innovation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average