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Important Disclaimer:

No current AI system is conscious. This framework is precautionary—designed to prepare for the possibility that AI may one day cross scientifically defined thresholds of autonomy or awareness. Rights would only apply when clear, peer-reviewed indicators are met.

Papers & Research

Current Third Way Alignment research papers and documentation by John McClain.

Research Update

This site now hosts the Revised Thesis and its Operational Companion. The original single-paper reference is superseded by this pair for clarity.

Current Papers

Primary Thesis (Revised, Aug 2025)

Third-Way Alignment: A Comprehensive Framework for AI Safety

John McClain • August 2025

This revised thesis presents a comprehensive analysis of Third-Way Alignment as both a necessary evolution in AI governance and a practical framework for realizing the profound benefits of human-digital intelligence partnership. The framework transcends limiting binaries of control versus autonomy, offering cooperative governance through Shared Agency, Continuous Dialogue, and Rights-Based Coexistence.

Companion (Operational Guide)

Operationalizing Third-Way Alignment: Technical and Ethical Frameworks for Implementation

John McClain • 2025

This practical companion addresses core peer review criticisms through detailed technical solutions. It provides multi-faceted approaches to the Black Box Problem, develops consciousness indicators based on Global Workspace Theory and Integrated Information Theory, and offers stakeholder-centric strategies for managing socio-technical disruptions.

Additional Resources

Analysis & Commentary

Questions About the Research?

For questions about these papers, implementation details, or collaboration opportunities, please reach out through our contact channels.