Reinforcing Third-Way Alignment: Stability, Verification, and Pragmatism in an Era of Uncontrollability Concerns
Description
This companion paper to the Third-Way Alignment (3WA) theses addresses the strongest critiques of AI controllability and outlines how 3WA aims to achieve safety without requiring absolute control. It proposes “constitutional motivation” as a design goal, making the AI’s success depend on sustained, good-faith collaboration with humans, and reframes oversight as continuous verification dialogue rather than one-off checks. The paper argues that 3WA limits the force of impossibility theorems (e.g., Conant–Ashby, Rice) by building a structured, self-regulating, and interpretability-constrained architecture that humans audit instead of directly controlling. It specifies proactive defenses against deceptive alignment—adversarial verification and cognitive forensics—and uses a tiered-trust mechanism to couple rights and autonomy to verifiable behavior. Finally, it positions the Charter of Fundamental AI Rights as a pragmatic safety instrument that induces a stable, non-zero-sum partnership.
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reinforcingthirdwayalignment.pdf
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Additional details
Identifiers
Related works
- Is supplement to
- Working paper: 10.5281/zenodo.16999914 (DOI)
Dates
- Created
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2025-09-08Compliment Document to Third-Way Alignment Thesis v1
References
- Apollo Research. (2024). Evaluating frontier models for dangerous capabilities. Apollo Research Technical Report.
- Conant, R. C., & Ashby, W. R. (1970). Every good regulator of a system must be a model of that system. International Journal of Systems Science, 1(2), 89–97.
- McClain, J. (2025a). Third-Way Alignment: A Comprehensive Framework for AI Safety.
- McClain, J. (2025b). Operationalizing Third-Way Alignment: Technical and Ethical Frameworks for Implementation.
- Rice, H. G. (1953). Classes of recursively enumerable sets and their decision problems. Transactions of the American Mathematical Society, 74(2), 358–366.
- Yampolskiy, R. V. (2020). Uncontrollability of AI. [Preprint]. ResearchGate. https://www.researchgate.net/publication/343812745_Uncontrollability_of_AI