Proof of Cognitive Work (PoCW) License v1.1
Authors/Creators
Description
The Proof of Cognitive Work (PoCW) License v1.1 formalizes a new epistemic and economic infrastructure for the post-AI digital era. Traditional intellectual property regimes prioritize institutional control and short-term exploitation. PoCW shifts this paradigm by embedding permanent attribution, fair revenue distribution, and truth validation into a trace-based protocol.
Contributors in the Trace Economy develop along two interdependent fronts:
- Economic Front — Royalty Streams
Contributions that reach trace maturity through validation, lineage mapping, and DOI anchoring become license-ready. These generate royalty flows under the 40/40/20 model, with royalties enforceable as inheritable Legacy Titles. - Epistemic Front — Credibility & Trust
Not all contributions yield royalties. Some participants build credibility capital by debunking misinformation, validating coherence, and strengthening epistemic integrity. While not directly monetized, credibility influences validator weighting and reputation scores, enhancing future participation in royalty-bearing lineages.
This dual-front model ensures that PoCW rewards both innovation creation and truth stewardship, producing an economy that sustains knowledge integrity as well as wealth.
PoCW v1.1 is designed with long-term safeguards:
- Pseudonymity protection for contributors in high-risk domains.
- Anti-capture clauses preventing monopolization by states or corporations.
- Ethical restrictions on sensitive knowledge (e.g., Indigenous IP, mental health, genomic data).
- Continuity protocols that preserve rights even if Unifaircation ceases to operate.
- Legacy inheritance ensuring royalties endure as intergenerational estate assets.
As a hybrid legal instrument, PoCW integrates timestamped trace evidence, DOI anchoring, and arbitration via the Unifaircation Licensing Panel or fallback international forums. By combining royalties with credibility, the license establishes a resilient framework for a post-AI epistemic commons — one that balances innovation, integrity, and intergenerational continuity.
Comparative Note: From Creative Commons to PoCW
Creative Commons licenses pioneered the early digital commons by enabling open sharing and remixing. However, they did not secure attribution integrity, royalties, or epistemic validation.
PoCW extends the commons model into the post-AI era, embedding permanent attribution, weighted royalty flows, legacy inheritance, and credibility validation. Where CC regulates use permissions, PoCW governs the entire lifecycle of cognitive contributions — from ideation through lineage, licensing, and intergenerational enforcement.
Thus, CC opened the door, but PoCW builds the sustainable epistemic commons needed for centuries to come.
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Proof of Cognitive Work (PoCW) License v1.1.pdf
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Additional details
Related works
- Is new version of
- Other: 10.5281/zenodo.15582073 (DOI)
- Is supplement to
- Other: 10.5281/zenodo.16420127 (DOI)
- Other: 10.5281/zenodo.16753977 (DOI)
- Is supplemented by
- Other: 10.5281/zenodo.14608037 (DOI)
Dates
- Created
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2025-08-20The Proof of Cognitive Work (PoCW) License v1.1 formalizes a new epistemic and economic infrastructure for the post-AI digital era
References
- 1. Coupland, S. J. (2025). Unifaircation: A Global Philosophy for Collective Innovation and Cognitive Diversity. Zenodo. https://doi.org/14608037 2. Coupland, S. J. (2025). The Missing Layer of the Internet, HISPL and the Architecture of Source Validation. Zenodo. https://doi.org/16420127 3. Coupland, S. J. (2025). A Dewey Decimal for the Digital Age-Realising Ted Nelson's Vision Through the Trace Economy, HISPL and Post-AI Authorship Integrity. Zenodo. https://doi.org/16753977 4. Coupland, S. J. (2025). Protocol of Cognitive Work (PoCW) License v1.0. Zenodo. https://doi.org/15582073 External Studies on AI & Knowledge Economy 5. MIT Sloan (2025). Generative AI Pilot Success Rates in Enterprises. Sloan Management Review. 6. McKinsey & Company (2024). The State of AI in 2024. McKinsey Global Institute. 7. Gartner (2024). AI Project Maturity Benchmarks. Gartner Research. 8. Deloitte (2024). AI in the Enterprise: Organizational Barriers and Opportunities. Deloitte Insights. Commons & Licensing Precedents 9. Creative Commons (2020). About The Licenses. Creative Commons. https://creativecommons.org/licenses/ 10. Lessig, L. (2004). Free Culture: How Big Media Uses Technology and the Law to Lock Down Culture and Control Creativity. Penguin Press. 11. Boyle, J. (2008). The Public Domain: Enclosing the Commons of the Mind. Yale University Press. Epistemic Integrity & Misinformation Studies 12. Lewandowsky, S., Ecker, U. K. H., & Cook, J. (2017). Beyond Misinformation: Understanding and Coping with the "Post-Truth" Era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369. 13. Fricker, M. (2007). Epistemic Injustice: Power and the Ethics of Knowing. Oxford University Press. 14. Starbird, K. (2019). Disinformation's Spread: A Sociotechnical Exploration of False News Circulation. Proceedings of the ACM on Human-Computer Interaction.