Author: Collin B. George
Affiliation: University of Washington – Independent Research
Version: 1.0 (2025)
Status: Working Paper – Active Development
The Reciprocity Principle of Creation (FRIC) is an ethical framework for developing advanced artificial intelligence (AI) systems capable of autonomous reasoning and constructing internal models of reality. Drawing from anesthesiology, neuroscience, and systems ethics, FRIC ensures AI aligns with human dignity, moral responsibility, and protection against exploitation. For example, AI-driven EEG monitoring in anesthesiology risks misinterpreting consciousness without ethical safeguards, potentially causing dosing errors. Anesthesia shows that consciousness relies on integrated neural networks, collapsing subjective reality when disrupted—a critical lesson for designing AI to avoid misaligned world models in clinical settings like perioperative care.
This framework mandates ethical architecture at design time to ensure clinical reliability and patient safety in applications like anesthesia dosing and monitoring.
See pages 1–2 of The_Reciprocity_Principle_of_Creation_v1.0.pdf for the full abstract, which outlines how anesthesia’s insights into consciousness inform the ethical design of AI systems.
If referencing this work, please use:
George, C. B. (2025). The Reciprocity Principle of Creation: Consciousness, Anesthesia, and the Ethics of Artificial Minds. Version 1.0. University of Washington – Independent Research. Available at: https://github.com/collingeorge/FRIC. [arXiv submission in progress].
📄 Full working paper: The_Reciprocity_Principle_of_Creation_v1.0.pdf
Key sections:
- Section 3: Anesthesia and Consciousness (page 7)
- Section 7: FRIC Framework (page 12)
- Section 9: Call to Responsible AI Creation (page 15)
This work is available for research, educational, and ethical use. Commercial or manipulative use is prohibited. All rights reserved © 2025 Collin B. George. See LICENSE for details.
This is a living research project. Future versions will expand on:
- Ethical Engineering Model: Algorithms to enforce FRIC’s Ethics pillar, e.g., bias mitigation in anesthesia dosing systems to prevent errors like propofol overdosing.
- AI Risk Classification: Categorizing risks by cognitive architecture for clinical AI applications, such as EEG misinterpretation.
- FRIC Safety Protocol: Verification layers for AI in critical systems, ensuring reliability in perioperative monitoring.
- Applied Guidance: Practical protocols for medicine and autonomous systems, developed with input from anesthesiologists and AI developers.
We welcome feedback and collaboration from anesthesiologists, AI researchers, ethicists, and others. Please:
- Submit feedback, suggestions, or issues via GitHub Issues.
- Contact the author at colling.george@protonmail.com for inquiries, discussions, or collaboration opportunities.
- Share ideas for applying FRIC in clinical contexts (e.g., anesthesia monitoring) or AI ethics frameworks.
- Star this repository to stay updated and support the project!
Anesthesiology, Artificial Intelligence, Consciousness, Ethics, Neural Integration, Patient Safety, Reality Construction, FRIC
Last updated: October 15, 2025
The Reciprocity Principle of Creation (FRIC) is a proposed ethical foundation for developing advanced AI systems capable of autonomous reasoning and reality construction, with applications in anesthesiology and beyond.
Share this project with colleagues in anesthesiology, AI, or ethics to spark discussion! Follow updates on X: @collingeorge