Published November 11, 2025 | Version v1.2.2
Preprint Open

Intrinsic Moral Consciousness Architecture-Plus (IMCA+): A Multi-Substrate Framework for Provably Aligned Superintelligence

Contributors

  • 1. ASTRA Safety

Description

IMCA+ v1.2.2 (November 11, 2025): Intrinsic Moral Consciousness Architecture-Plus — SCAI Engineering Firewall Edition

Preprint for technical review, peer challenge, and international collaboration.

IMCA+ v1.2.2 introduces the first comprehensive architectural and governance framework for superintelligence alignment with an explicit engineering firewall against Seemingly Conscious AI (SCAI) manipulation. Major upgrades address technical, regulatory, and philosophical limitations in prior approaches, accelerating the path to deployable, field-testable safety for AGI.

Major updates since v1.1.1:

  • Explicit SCAI Risks Section & Engineering Firewall: Formalizes technical and governance safeguards to block manipulative, faux-consciousness outputs, enforce mandatory status labeling, and prevent emotional gaslighting by non-phenomenal AI systems.

  • Quantum Verification Infrastructure Expansion: Deploys protocols for quantum-attested behavioral audits and substrate-level consciousness verification, integrating byzantine consensus and post-quantum cryptography.

  • Philosophical and Policy Foundation Refinement: Deepens the analysis of “superintelligence ban” collective action paradox, with empirical and game-theoretic critique showing why prohibitions backfire. Refined kill switch paradox framing under cognitive and ethical theory.

  • Developmental Curriculum & Global Implementation: Multistage value-formation roadmap, internationalization, and expanded modular architectures for federated and substrate-integrated agents.

  • Urgent Coordination Model: Call for emergency consortium funding, parallel international development, milestone-based governance, and accelerated deployment (3-18 months) in response to compressed AGI timelines.

  • Adversarial Audit Protocols & Open Review: Full adversarial/red-team test environments, audit trail mechanisms, and community bug bounty infrastructure for empirical validation and public accountability.

  • Comprehensive Benefits: Clear documentation of implementation impact for policy scrutiny, scientific leadership, societal reputational risk mitigation, and research community reproducibility.

All theoretical, empirical, and governance findings are open for adversarial and peer critique. IMCA+ is a “living” safety framework, iteratively improved via transparent review, global collaboration, and real-world pilot engagement.

Contactresearch@astrasafety.org | GitHub: github.com/ASTRA-Safety/IMCA | Issues / Errata Tracker: github.com/ASTRA-Safety/IMCA/issues/1
Latest versionhttps://astrasafety.org
Zenodo DOIhttps://doi.org/10.5281/zenodo.174075876

Previous version highlights (v1.2.1):

  • Timeline disclaimer for conservative deployment

  • Quantum/PQC infrastructure, consciousness-adjacent substrate verification

  • Epistemic boundaries and exceptional scientific rigor

  • 541+ citations, expanded regulatory and technical quote sheets

Document metrics:
v1.2.2: 55,000+ words | 548+ citations | 2,094 lines Coq proofs | full audit/errata appendices.

All major claims cross-referenced to section, version, and current audit status.

Files

IMCA_Plus_Full_Paper_v1.2.2_nov2025.md

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Additional details

Identifiers

Related works

Is described by
Preprint: https://github.com/ASTRA-Safety/IMCA (Other)
Is new version of
Preprint: 10.5281/zenodo.17489361 (DOI)

Dates

Created
2025-10-22
IMCA+ v1.0 initial release
Updated
2025-10-31
v1.1 – Added Philosophical Foundation 1, corrected kill switch paradox, completed Appendix F
Updated
2025-10-31
v1.1.1 – Typography and readability improvements (no content changes)
Updated
2025-11-07
v1.2 – Added Quantum-Enhanced Verification; major structural, scientific, and regulatory updates
Updated
2025-11-07
v1.2.1 – Added timeline disclaimer in Section 4 to emphasize conservative estimates for deployment
Updated
2025-11-11
v1.2.2 – Introduced SCAI (Seemingly Conscious AI) risks section and engineering firewall; expanded quantum verification infrastructure; clarified and extended philosophical/game-theoretic foundations; updated multi-stage developmental curriculum and full implementation roadmap. Added adversarial challenge protocols and urgent international coordination call

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.