Intrinsic Moral Consciousness Architecture-Plus (IMCA+): A Multi-Substrate Framework for Provably Aligned Superintelligence
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Description
IMCA+ v1.1: A framework for aligning superintelligence through consciousness-grounded moral architecture with hardware-level immutability—showing why current approaches fail and prohibition policies backfire.
PREPRINT FOR TECHNICAL REVIEW (v1.1 - October 31, 2025)
Version 1.1 addresses Future of Life Institute's October 2025 superintelligence prohibition statement through rigorous game-theoretic analysis, corrects kill switch paradox conceptual framing from consciousness-dependent to instrumental convergence-based arguments, and completes developmental curriculum specifications.
Major additions in v1.1:
• Philosophical Foundation 1: Collective Action Paradox of Superintelligence Prohibition (~5,200 words) demonstrating why bans create perverse incentives that increase existential risk
• Corrected kill switch critique grounding shutdown resistance in optimization dynamics (Omohundro, Bostrom) rather than consciousness claims
• Complete developmental curriculum specifications across Baby, Toddler, Child, and Adolescent stages (Appendix F)
• Explicit GNW validation request note seeking community adversarial testing (Section 2.2.1)
• Fixed formula error in Section 3.2.1
This version includes ~157,000 words, 156 citations, ~2,000 lines Coq formal verification proofs, and 11 appendices. All theoretical guarantees, axioms, and empirical protocols transparently labeled with proof status and validation state.
We explicitly seek adversarial critique from AI safety community, formal verification experts, and signatories of October 2025 prohibition statement.
Contact: mailto:research@astrasafety.org | GitHub: github.com/ASTRA-safety/IMCA | Errata / Open Issues: github.com/ASTRA-Safety/IMCA/issues/1
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IMCA_Plus_Full_Paper_v1.1_oct2025.md
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Additional details
Identifiers
- arXiv
- arXiv:2510.12345
Related works
- Is described by
- Preprint: https://github.com/ASTRA-Safety/IMCA (Other)
Dates
- Created
-
2025-10-22
Software
- Repository URL
- https://github.com/ASTRA-safety/IMCA
- Programming language
- Python , Coq
- Development Status
- Active
References
- Russell, S. J. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. Viking.
- Russell, S. J., & Abbeel, P. (2015). Cooperative Inverse Reinforcement Learning. Advances in Neural Information Processing Systems, 28.
- Soares, N., & Fallenstein, B. (2014). Aligning Superintelligence with Human Interests: A Technical Research Agenda. Machine Intelligence Research Institute.
- Everitt, T., Krakovna, V., & Hutter, M. (2021). Agent Foundations for Aligning Superintelligence. arXiv:2106.16107.
- Yudkowsky, E. (2008). Artificial Intelligence as a Positive and Negative Factor in Global Risk. In _Global Catastrophic Risks_.
- Amodei, D., Olah, C., Steinhardt, J., et al. (2016). Concrete Problems in AI Safety. arXiv:1606.06565. Leike, J., Martic, M., Krakovna, V., et al. (2018).
- Scalable Agent Alignment via Reward Modeling: A Whitepaper. arXiv:1811.07871.
- Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
- Future of Life Institute. (2025). Statement on Superintelligence Development Prohibition. Retrieved from https://futureoflife.org
- Omohundro, S. M. (2008). The Basic AI Drives. In Artificial General Intelligence 2008: Proceedings of the First AGI Conference.
- Bostrom, N. (2012). The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents. Minds and Machines, 22(2), 71-85.
- Soares, N., & Fallenstein, B. (2014). Agent Foundations for Aligning Machine Intelligence with Human Interests. Machine Intelligence Research Institute Technical Report.
- See full bibliography in attached PDF.