Publications

Audited State publishes across three layers: declarations, explorations, and formalizations.

Together, these form a structured approach to understanding reasoning continuity under accelerating human–AI collaboration.

🔴 Position Releases

Position releases introduce new risks, concepts, or shifts that require immediate attention. They act as public reference points and entry into deeper material.

A New Risk in AI: When Learning Stops Accumulating

🟡 Essays

Essays explore how these ideas unfold in practice — examining consequences, contexts, and implications across domains.

Recommended sequence (backbone narrative)

A guided path through the backbone narrative, in the intended reading order.

All essays

Learning Beyond the Continuity Threshold Explores the conditions under which learning can accumulate rather than fragment
Living Vicariously Continuity Explores the concept of vicarious continuity and how it can be used to preserve understanding in an era of AI-assisted learning
Education After Generative AI Explores the implications of generative AI on education and how it may change the way we learn
Reasoning Provenance in Small Enterprise Economics Explores how small enterprises may need to preserve the reasoning behind decisions in an era of AI-assisted analysis
Why AI Accountability Requires Reconstructable Reasoning Argues accountability for AI systems requires reconstructing full reasoning paths, not post-hoc explanations
A Cybernetic Ecology for Human–AI Systems Frames human–AI systems as ecological networks with feedback, adaptation, and shared responsibility
Existential Fatigue and Interpretive Entropy Links interpretive entropy to existential fatigue, highlighting cognitive overload under accelerating meaning
From Data Provenance to Reasoning Lineage Shifts provenance from data trails to reasoning lineage for durable accountability in systems
Human Reasoning Expands Meaning; AI Reasoning Narrows Possibilities Contrasts human meaning expansion with AI narrowing of possibilities under optimization pressure
Hybrid Intelligence Needs Memory Shows hybrid intelligence fails without persistent memory structures to preserve cumulative understanding
Interpretive Entropy and the Loss of Orientation Explains how interpretive entropy erodes orientation, making institutions lose shared direction over time
Shadow AI and the Collapse of Institutional Visibility Examines hidden AI use that erodes visibility, accountability, and institutional memory over time
Trust in the Age of Collaborative Conjecture Explores trust formation when human–AI collaboration produces conjecture without stable provenance or evidence
Why Courts Reconstruct Thinking Analyzes legal reconstruction of reasoning and its limits for collective accountability under uncertainty

🟢 Papers & Proposals

Papers present more formal structures, hypotheses, and system-level proposals within the PKOS research program.

Persistent Semantic Scaffolds (PSS): Interpretive Stability and Inspectable Accumulation in Long-Horizon Human–AI Institutional Systems
Dual Representation of Reasoning Systems Proposes dual representations to separate reasoning structure from outputs for inspectability and auditability
Traceable State and Reasoning Lineage Defines traceable state as persistent reasoning lineage linking decisions, context, and accountability

How to Navigate

Each layer serves a different role:

Releases highlight what is changing now
Essays explore how and why it matters
Papers formalize structure and long-term implications

Concepts referenced across publications are defined in the Lexicon.

Relation to the Research Program

This section forms part of the broader PKOS research landscape, including conceptual vocabulary, architectural exploration, and interdisciplinary entry points into reasoning infrastructure.