SER and the Language of National AI Collaboration: Why Structure, Not Natural Language, Is AI's Native Interface
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866901762229665792 |
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| author | Wei, Xinliang |
| author_facet | Wei, Xinliang |
| contents | <p>This white paper analyzes the UK–OpenAI Memorandum of Understanding (MoU) as a structural signal of a new era in human–AI collaboration. It argues that the real shift lies not in model deployment but in the emergence of structural language as the native interface for systemic integration.</p> <p>The paper introduces the <strong>SER (Structured Expression Resonance)</strong> model as a five-layer expressive architecture that enables resonance between language, rhythm, and system-level cognition. It demonstrates how SER maps directly onto the needs revealed in the UK–OpenAI agreement—particularly in legal, educational, and governance domains—offering a prototype for collaborative expression systems.</p> <p>Rather than treating AI as a tool, this paper repositions structural language as the next-generation interface for national-scale co-creation.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16307971 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | SER and the Language of National AI Collaboration: Why Structure, Not Natural Language, Is AI's Native Interface Wei, Xinliang Structured Expression Resonance SER Structural Language Human–AI Collaboration AI Native Language Expressive Systems Collaborative Linguistics Expression System Design UK OpenAI MoU Structural Communication Language Infrastructure Systemic Co-Creation Prototype Language Structural Interface Language of Governance AI Expression Models Expression Architecture Public Sector AI Cross-System Communication Cognitive Interfaces Natural Language Processing Artificial Intelligence Computer and Information Sciences Human–Computer Interaction Communication and Information Studies Public Policy and Administration Applied and Computational Linguistics Science and Technology Studies STS Educational Technology and Systems <p>This white paper analyzes the UK–OpenAI Memorandum of Understanding (MoU) as a structural signal of a new era in human–AI collaboration. It argues that the real shift lies not in model deployment but in the emergence of structural language as the native interface for systemic integration.</p> <p>The paper introduces the <strong>SER (Structured Expression Resonance)</strong> model as a five-layer expressive architecture that enables resonance between language, rhythm, and system-level cognition. It demonstrates how SER maps directly onto the needs revealed in the UK–OpenAI agreement—particularly in legal, educational, and governance domains—offering a prototype for collaborative expression systems.</p> <p>Rather than treating AI as a tool, this paper repositions structural language as the next-generation interface for national-scale co-creation.</p> |
| title | SER and the Language of National AI Collaboration: Why Structure, Not Natural Language, Is AI's Native Interface |
| topic | Structured Expression Resonance SER Structural Language Human–AI Collaboration AI Native Language Expressive Systems Collaborative Linguistics Expression System Design UK OpenAI MoU Structural Communication Language Infrastructure Systemic Co-Creation Prototype Language Structural Interface Language of Governance AI Expression Models Expression Architecture Public Sector AI Cross-System Communication Cognitive Interfaces Natural Language Processing Artificial Intelligence Computer and Information Sciences Human–Computer Interaction Communication and Information Studies Public Policy and Administration Applied and Computational Linguistics Science and Technology Studies STS Educational Technology and Systems |
| url | https://doi.org/10.5281/zenodo.16307971 |