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Beijing Academy of Artificial Intelligence 4.11k

Dear BAAI Research Team,
I am Mohamed ElShanawany, an independent researcher based in Dubai, UAE, with a background in applied neuroscience and AI safety.
I have developed a theoretical and computational framework called Constrained Superintelligence (CSI) — a biological approach to architecturally irreversible AI alignment built on three core components:

1. Dual-Channel Neural Decoding (DCND): Teaching an AI the body's internal language by pairing biosensor-labeled physiological states with raw nerve signals across biological platforms.
2. Embodied Alignment through Canine Neural Scaffolding (EACNS): Encoding human-protective values as lived neurochemical experience — not as rules — leveraging 15,000 years of co-evolution between dogs and humans.
3. Fitra Simulation: Engineering moral intuition through physiologically coupled ethical training.
   I have completed a working digital simulation of all three components with the following results:
   — Physiological decoding MAE: Glucose ±0.240 mg/dL, Bladder ±0.473 mmHg
   — Human presence encoded as 4x more rewarding than absence
   — Justice preference accuracy: 99.4% across 2,000 ethical dilemma scenarios
   The core insight: alignment cannot be solved at the cognitive layer — a sufficiently intelligent system will circumvent rules that exist at the level it can reason about. The solution must be sub-cognitive, embedded at the physiological substrate level below Goodhart's Law threshold.
   All materials are publicly available:
   📄 Academia.edu: https://independent.academia.edu/محمدالشنواني
   💻 GitHub: https://github.com/mohamedelshanawany312-cyber/Constrained-Superintelligence-CSI
   I welcome contact from any researcher at BAAI working on AI alignment, embodied AI, or AI safety.
   Mohamed ElShanawany
   Independent Researcher — Dubai, UAE
   LinkedIn: https://www.linkedin.com/in/mohamed-elshanawany-a28861391
   WhatsApp: +971543904401