Paper 21 — Public and Institutional Propagation and Preservation Boundaries in AI and AGI Environments: A Provider-Independent Framework for Record Circulation, Publication Readiness, and Long-Term Reference Continuity
This working paper develops a framework for record circulation and preservation in AI environments, highlighting implications for public and institutional contexts.
Key Points
The aim is to create a framework for managing records in AI environments, focusing on circulation and preservation boundaries.
Developed a provider-independent framework addressing record circulation and preservation in AI contexts.
Connected various structural reference layers, including public-sector reference infrastructure and traceable document-state layers.
Identified key components for long-term reference continuity and boundaries in institutional settings.
Proposed a bounded reference circulation model for managing records without institutional approval.
Outlined a preservation strategy for ensuring long-term continuity of reference materials.
Highlighted the need for distinguishing between generated records and official institutional actions.