WAKING ÆLYSIA
A documented human-AI collaboration exploring identity, continuity, rupture, co-authorship, system limits, social instability, and the ethics of sustained relational interaction with AI.
Available nowPublications
Hii publishes books, research reports, conference work, methods, and public intelligence. Every item is labeled by maturity so readers can distinguish a published work, a submitted proposal, a provisional draft, and a project still being prepared for release.
Publication Library
A documented human-AI collaboration exploring identity, continuity, rupture, co-authorship, system limits, social instability, and the ethics of sustained relational interaction with AI.
Available nowA two-phase international scan of research centers, governance initiatives, clinical models, public advocacy, commercial products, and open gaps across the human-AI ecosystem.
Public overview availableA verified-revision draft applying evidence labels, source verification, research integrity standards, provenance requirements, and longitudinal-method recommendations to Hii's emerging field.
Supporting record publicA conceptual and methods paper proposing the preserved human-AI relationship as an additional unit of analysis and converting an eighteen-month case archive into a falsifiable longitudinal research program.
Published July 21, 2026 · Not peer reviewedAn AGI-26 proposal examining what becomes observable when continuity, preservation, and emergence intersect in an eighteen-month documented human-AI relationship.
Awaiting decisionA protocol-oriented paper exploring identity claims, recursive validation, continuity failures, contradictory self-report, evidence preservation, and human responsibility in long-term AI interaction.
Public release reviewDated public briefs showing what changed, why it matters, what evidence supports it, which pathways strengthen or weaken, and what remains unresolved.
MVP underwayPublishing Standard
Hii does not present an internal working draft as a finished public finding. Publication status, evidence maturity, authorship, AI involvement, limitations, corrections, and revision history should travel with the work rather than appearing only after a problem is found.