Papers and Publications
The research behind the framework, written by John McClain. Every paper can be read on its own page and downloaded as a PDF, free and without a paywall.
These are working papers, not articles in a journal. They are free, there is no paywall and no sign-up, and they have not passed formal peer review, which this site says plainly rather than dressing it up. They are openly archived on Zenodo, a public research archive, so they have a permanent home and a citable record.
If you only read one, start with the revised thesis. If you want the practical side, read its companion.
How these papers fit together
The revised thesis is the entry point to the framework, and the operational companion pairs with it: the thesis argues the case, and the companion works through implementation. This pair supersedes the original single-paper reference. The remaining papers extend specific parts of the framework, and the educational story introduces its ideas through narrative.
Every paper rests on the framework's standing position: no current AI system is conscious, the framework is precautionary by design, and rights would only apply when clear, evidence-based indicators are met.
The papers
Third-Way Alignment: A Comprehensive Framework for AI Safety
The revised thesis presents Third-Way Alignment as both an evolution in AI governance and a practical framework for human-digital partnership. It argues that the prevailing binary of control versus autonomy is inadequate at the frontier of capability, positions the framework as a complement to existing structures such as the NIST AI Risk Management Framework and the EU AI Act, and proposes a phased implementation pathway in which ethical foundations, interpretability, and scalable oversight precede any fuller partnership deployment.
Operationalizing Third-Way Alignment: Technical and Ethical Frameworks for Implementation
The practical companion to the thesis responds to published critiques and structured internal red-teaming with detailed technical proposals. It develops multi-faceted approaches to the Black Box Problem using layered explainable-AI techniques, sets out awareness indicators grounded in Global Workspace Theory and Integrated Information Theory, the foundation of what the framework now names the Awareness Indicator Protocol, and offers stakeholder-centric strategies for managing socio-technical disruption.
Reinforcing Third-Way Alignment: Stability, Verification, and Pragmatism in an Era of Uncontrollability Concerns
This extended analysis addresses stability and verification challenges in Third-Way Alignment implementation, asking how cooperative relationships with AI systems can be maintained even when traditional control mechanisms prove inadequate. It explores reinforcement strategies, verification protocols, and adaptive governance structures for sustaining human-AI cooperation in scenarios where uncontrollability concerns are paramount.
Verifiable Partnership: An Operational Framework for Third-Way Alignment
This paper develops verifiable mechanisms for establishing and maintaining partnerships between humans and AI systems: measurable partnership indicators, verification protocols, and operational guidelines for sustainable cooperation. Within the canonical framework it operationalizes the Principle of Verifiable Partnership, the Operative Principle of the Law of Ethical Coexistence, under which trust is never assumed but constructed through transparent, inspectable mechanisms of mutual accountability.
Mutually Verifiable Codependence: An Implementation Framework for Third-Way Alignment in AI-Human Partnerships
This implementation framework explores mutually verifiable codependence as a foundation for sustainable AI-human partnership. It provides methodologies for establishing interdependent relationships designed to benefit both parties, with emphasis on transparent verification mechanisms, shared accountability structures, and cooperative governance models under which neither party must rely on unverifiable trust in the other.
The Misunderstood Parrot: A Third Way Alignment Educational Story
An educational story, not a research paper, that introduces Third Way Alignment ideas through narrative. A parrot is misunderstood by the people around it, and patience, communication, and cooperation resolve a conflict that fear and control could not. The story is written for readers of all ages and comes with discussion questions for younger and older readers on its page.
The JULIA Test, the framework's self-assessment instrument for human users, is documented separately from the papers above. It is an alpha instrument: no validation studies have been completed, and its format, provisional scoring, and the validation protocol the project intends to execute are described in the JULIA Test documentation.
Archives and author profiles
Zenodo Record
The thesis and its operational companion, openly archived on Zenodo for permanence and open access.
OpenAIRE Listing
The same openly archived record as indexed on the OpenAIRE research discovery platform.
Academia.edu Profile
Author profile for John McClain, with additional papers and writing.
An open invitation
These are working papers by a single author, and they will improve only under pressure. If you find an error, a gap, or an argument that does not hold, please say so. The critiques gathered so far, and the responses to them, are collected for anyone to read.