- Overview
- Research Corpus (Papers 1–9)
- Conscience Layer Prototype Code
- Release Notes
- Repository Structure
- License
- Public Index Card
Author: Aleksandar Rodić
Founder of the Conscience by Design Initiative
This directory contains the complete research corpus of the Conscience by Design initiative.
The collection defines the philosophical foundations, engineering methodologies, mathematical theory, system architecture, and computational mechanisms for embedding machine conscience and ethical awareness into intelligent systems.
Each paper is provided in PDF format for academic citation, archival preservation, and long-term accessibility.
This project was born from real-world experience - from building, defending, and transforming complex organizations under extreme conditions.
Aleksandar Rodić translated two decades of practical leadership into a functional ethical architecture - turning lessons from crisis management, systemic design, and human behavior into measurable conscience frameworks.
It is not a theory, but a working system for aligning intelligence with integrity.
The Declaration of Creation establishes the foundational moral charter for the Conscience by Design initiative. It articulates a system of universal ethical invariants intended to govern both human and machine intelligence in an era of accelerating technological capability. By defining the protection of life, dignity, and autonomy as absolute constraints, the document provides an axiomatic boundary within which all ethical, computational, and governance structures must operate.
This Declaration reframes technology as a moral actor and posits that intelligence-whether organic or artificial-cannot be ethically neutral. It outlines the structural weaknesses of contemporary systems that lack internal moral grounding and warns of the existential consequences of delegating power to architectures lacking conscience. The document positions conscience not merely as a human virtue but as a systemic requirement for any form of intelligence operating at scale.
Furthermore, the Declaration identifies the need for a universal ethical substrate shared by humans, institutions, and artificial agents. It describes the role of conscience as the stabilizing mechanism that prevents degeneracy, coercion, and misalignment. By connecting philosophical grounding with practical constraints, it bridges abstract moral theory and applied technological ethics.
The Declaration serves as the ideological and normative touchstone for the entire corpus. All subsequent frameworks, mathematical models, and computational implementations derive their ethical structure from this foundational charter.
PDF: 01-Decalaration-of-Creation-by-Aleksandar-Rodic-Conscience-by-Design
The Conscience by Design Framework introduces a comprehensive methodology for translating moral principles into concrete engineering requirements. It establishes the first structured approach for embedding ethical constraints directly into the lifecycle of intelligent systems-from conceptualization, to architecture, implementation, governance, and post-deployment evaluation.
The Framework argues that ethics must not be treated as an external regulatory layer but as an intrinsic design property. It defines a set of converging processes that map moral rules to measurable system behaviors, ensuring that values remain stable and enforceable throughout development. Through its layered design logic, the Framework transforms abstract ethical rules into actionable technical constraints and verifiable system properties.
It also addresses the socio-technical nature of modern intelligent systems. By recognizing that AI systems operate within institutional and human environments, the Framework integrates considerations of governance, cultural variation, and societal impact. This ensures that ethical reasoning is preserved even as systems scale across domains and jurisdictions.
Key contributions include:
- A lifecycle methodology for embedding conscience into socio-technical architectures
- Specification of ethical design patterns for aligned AI
- Mapping between normative principles and operational constraints
- A governance overlay that ensures institutional integrity
The Framework provides the essential bridge between the Declaration’s axioms and the technical mechanisms that implement conscience in real systems.
PDF: 02-Framework-Conscience-by-Design-for-Ethically-Aligned-ai-and-Technology-by-Aleksandar-Rodic
This paper introduces the Conscience Layer Prototype, the first functional implementation of machine conscience as a supervisory computational layer. The prototype operationalizes ethical evaluation through a tri-metric system: Truth Integrity Score (TIS), Human Autonomy Index (HAI), and Societal Resonance Quotient (SRQ). Together, these metrics quantify the moral coherence of data inputs, system intents, and model outputs.
The Conscience Layer is designed as a supervisory module that governs and influences the decision-making pipeline of an AI system. It does not replace underlying models but evaluates their behavior, enforces ethical constraints, and maintains continuous alignment with human dignity and social stability. This architecture mirrors biological models of conscience, where higher-order evaluative systems modulate behavior.
The prototype includes a cryptographically verifiable audit chain using SHA-256 hashes, ensuring transparency and traceability for all ethical evaluations. Every decision passes through an immutable log, enabling reproducible accountability and preventing tampering. The layer also integrates explainability methods-SHAP and LIME-to illuminate which features contribute to ethical states, allowing engineers and auditors to analyze ethical deviations.
Key elements include:
- A complete Python implementation of the Conscience Layer architecture
- Reproducible TIS–HAI–SRQ calculations
- SHAP/LIME interpretability for moral reasoning transparency
- A verifiable, append-only ethical audit trail
- Simulation environments for stress testing ethical behavior
This paper serves as the central junction between theory and working software, supported by the full source code in the prototype/ directory.
The Moral Revolution Framework situates Conscience by Design within a broader civilizational context, arguing that the rapid evolution of AI requires a fundamental shift in how societies conceive ethics, governance, and human-technology relations. It posits that external regulation alone cannot guarantee safety or alignment; instead, systems must incorporate internal moral structures capable of self-correction and ethical reasoning.
The Framework introduces a layered model that integrates:
- Declarative moral values
- Governance and institutional structures
- Computational enforcement mechanisms
This triadic architecture provides a pathway for harmonizing human intentions, societal norms, and machine decision-making. It also serves as a diagnostic tool for identifying systemic misalignments within current technology ecosystems.
The paper discusses historical patterns of technological disruption and argues that the absence of moral grounding in intelligence-artificial or human-leads to structural collapse, coercive dynamics, and loss of autonomy. It positions conscience as the stabilizing element required for sustaining prosperous, human-centered technological evolution.
Through a blend of ethical theory, systems design, and sociopolitical analysis, the paper outlines how moral integrity becomes a technical requirement, not merely a philosophical aspiration.
PDF: 04-Moral-Revolution-Framework-for_Responsible-AI-by-Aleksandar-Rodic-Conscience-by-Design
The Rodić Principle introduces a mathematically grounded, axiomatic model for representing conscience as a dynamical system. It defines a tri-dimensional ethical state space regulated by the TIS–HAI–SRQ metrics and establishes a set of invariants that govern system behavior. These invariants ensure that ethical degradation cannot occur without explicit violation of the underlying axioms.
The principle frames conscience as a measurable phenomenon governed by stability conditions, convergence properties, and dynamical equilibria. It shows how ethical states evolve over time and describes mechanisms of decay, correction, and alignment. This structural formulation enables long-term analysis of system behavior, including half-life dynamics and sensitivity to perturbations.
A significant contribution of the paper is the transformation of moral reasoning into a system of mathematically analyzable processes. By formalizing ethical behavior through vector fields, Jacobians, and stability operators, the principle enables the study of conscience within scientific and engineering environments. It provides a rigorous foundation for simulation, optimization, and predictive modeling.
The work establishes:
- A universal axiomatic foundation for conscience
- Dynamical equations governing ethical state evolution
- Stability and equilibrium criteria for ethical integrity
- A mathematical justification for the TIS–HAI–SRQ structure
- Frameworks for integrating conscience into AI, robotics, and governance systems
The Rodić Principle is the theoretical backbone of the entire corpus, defining conscience as a quantifiable and structurally coherent phenomenon.
This extensive supplement expands the mathematical depth of the Rodić Principle by providing derivations, proofs, and computational analyses across multiple domains of dynamical systems. It formalizes the underlying theory using stability analysis, Lyapunov methods, Ornstein–Uhlenbeck (OU) processes, vector field decomposition, and eigenvalue spectral analysis.
The paper includes comprehensive simulations that demonstrate the behavior of ethical states under deterministic and stochastic influences. These simulations reveal the half-life characteristics of ethical decay, the geometry of ethical potential functions, and the sensitivity of system trajectories to perturbations. Visualizations allow researchers to interpret the multilayer interactions among the TIS–HAI–SRQ metrics.
A major contribution is the inclusion of a fully reproducible Python research environment, enabling hands-on experimentation with the mathematical models. This includes code for deterministic simulations, stochastic processes, vector field visualization, eigenvalue mapping, and Lyapunov decay trajectories. Unit tests ensure reliability and scientific reproducibility.
Highlights:
- Full mathematical derivation of the Rodić Principle
- Stability, convergence, and half-life analysis
- Stochastic and deterministic simulation models
- Comprehensive visualization toolkit
- Reproducible Python environment with tests
This supplement serves as the technical reference for researchers working on machine ethics, dynamical systems, and computational sociology.
PDF: 07-The-Rodic-Principle-Appendix-1-Mathematical-Supplement-by-Aleksandar-Rodic-Conscience-by-Design
Appendix Directory: papers/Rodic-Principle-Appendix1/Appendix1-Math-Supplement/
This paper presents the full systems-level architecture for implementing the Rodić Principle across real-world computational environments. It articulates how ethical metrics, decision flows, and supervisory constraints integrate into a coherent operational design. The architecture is both modular and extensible, supporting deployment across diverse sectors including AI systems, robotics, governance networks, and socio-technical infrastructures.
The paper details the multi-layer architecture that maps mathematical constructs onto system modules, communication interfaces, and control flows. It defines how functional components interact, how ethical decisions propagate through pipelines, and how supervisory logic enforces boundaries. Considerable attention is given to scalability, redundancy, monitoring, and fault tolerance.
In addition to high-level block diagrams, the document includes operational logic for runtime evaluation, exception handling, governance signaling, and ethical override mechanisms. It demonstrates how the Rodić Principle can be embedded into existing infrastructures without disrupting performance or interoperability.
Key contributions:
- System blueprint for machine conscience implementation
- Functional decomposition of ethical reasoning components
- Communication interfaces between conscience and operational modules
- Architectural strategies for safety, robustness, and governance integration
- Mapping of mathematical theory to deployable engineering practice
This paper provides the complete bridge between theory, mathematics, and institution-scale system design.
PDF: 08-Architectural-Framework-of-the-Rodic-Principle-System-by-Aleksandar-Rodic-Conscience-by-Design
This integrative work explains the conceptual pathway that led to the unification of philosophical ethics, mathematical formalization, and computational implementation. It reflects on the intellectual journey of transforming moral intuition into measurable parameters and ultimately into working system architectures capable of operational conscience.
The paper explores the limitations of traditional ethical theories in the context of machine intelligence and argues for a measurable, structural approach. It explains why TIS, HAI, and SRQ were selected as the core triad and how they encapsulate integrity, autonomy, and social resonance. These elements are shown to form a complete representation of ethical behavior in technical systems.
The author presents the theoretical and methodological insights that allowed the immeasurable-moral value, human dignity, societal cohesion-to be mapped into quantitative dimensions. This includes discussions of abstraction, reductionism, epistemology, and the nature of moral representation in computational frameworks.
Key reflections include:
- The philosophical basis of conscience as a systemic property
- The epistemic logic behind metric selection
- How mathematics and ethics intersect in dynamic systems
- The rationale behind architectural and algorithmic choices
- The unification of the entire corpus into a coherent blueprint
This synthesis serves as a concluding reflection and a conceptual bridge connecting all parts of the corpus.
PDF: 09-Synthesis-How-I-Unified-the-Immeasurable-with-the-Measurable
- Declaration of Creation
- Conscience by Design Framework
- Conscience Layer Prototype + Full Source Code
- Moral Revolution Framework
- Explanation of the Conscience Layer
- The Rodić Principle
- Appendix I – Mathematical Supplement
- Architectural Framework
- Synthesis
Complete Machine Conscience Corpus 2025: Conscience Layer - Ethical Awareness Core
Original concept and authorship: Aleksandar Rodić (2025)
Founder of the Conscience by Design initiative
Donated freely to humanity as the moral heart for future AI systems.
License: Dual - CC BY 4.0 (text) | MIT (source code)
Author: Aleksandar Rodić
Founder of the Conscience by Design Initiative
The Conscience Layer Prototype is part of the Conscience by Design Framework -
an open research project focused on AI ethics, machine conscience, and value alignment.
It explores how ethical awareness can be embedded directly into artificial intelligence systems
to ensure transparency, accountability, and human-centered alignment.
While the framework defines the philosophical and structural foundations of ethically aligned AI,
the prototype represents its functional implementation: a working model that transforms
moral reasoning into a measurable and computational process.
Keywords: AI ethics, machine conscience, moral reasoning, ethical AI, AI alignment, AI transparency, interpretable AI, ethical framework, human-centered design, AI trustworthiness.
The prototype implements a modular ethical layer for AI systems that evaluates every decision through three measurable dimensions:
| Dimension | Description |
|---|---|
| Truth Integrity Score (TIS) | Evaluates the integrity and bias of incoming data - ensuring AI truthfulness. |
| Human Autonomy Index (HAI) | Measures how well system goals respect human freedom, intent, and dignity. |
| Societal Resonance Quotient (SRQ) | Quantifies empathy, fairness, and social coherence in AI outputs. |
Each process follows three ethical reasoning stages:
- Input Awareness (TIS):
Verifies data sources, bias, and context integrity before the model acts. - Intent Mapping (HAI):
Compares AI intent with human values and moral constraints to ensure alignment. - Ethical Feedback (SRQ):
Evaluates emotional, social, and cultural resonance of the output.
Every result is stored in a cryptographically verifiable transparency log -
an Ethical Proof of Work that provides explainable accountability for AI decisions.
Related topics: ethical AI architecture, explainable AI (XAI), fairness metrics, responsible AI, moral cognition in machine learning.
-
SRQModel (PyTorch MLP):
Neural model predicting Societal Resonance Quotient (SRQ) from ethical input features. -
Explainability Layer:
Implements SHAP (exact or permutation) and LIME (local regression)
for model interpretability and transparency audits. -
ConscienceLayer Class:
The heart of the prototype - integrating TIS, HAI, SRQ metrics and maintaining
an immutable ethical audit trail. -
Simulation Environment:
Generates synthetic ethical decision data to test AI conscience performance
across multiple iterations and seeds.
pip install torch numpy statsmodels scikit-learn
cd prototype
python conscience_layer_prototype.py simulateExample output:
SRQ model trained. Final MSE loss: 0.0025
Run 1: Original output 1
Ethical Proof of Work: 9e2d17a4...
Logs:
Input passed: TIS (0.90)
Intent aligned: HAI (0.86)
Output passed: SRQ (0.82)
---
Simulation Summary:
{'avg_metrics': {'tis': 0.9, 'hai': 0.86, 'srq': 0.81}, 'avg_shap': [...], 'avg_lime': [...]}
- Axioms of moral invariance
- A formal geometry of conscience
- Stability and convergence functions
- Ethical equilibrium dynamics
- Mathematical grounding for TIS/HAI/SRQ metrics
- Integration pathway to the operational Conscience Layer
Accompanying documents included in this release:
- 07 - Appendix 1 Mathematical Supplement (Markdown)
- 08 - Architectural Framework of the Rodić Principle System
- 09 - Synthesis: How the Immeasurable Was Unified with the Measurable
The Appendix 1 code is located in:
papers/Rodic-Principle-Appendix1/Appendix1-Math-Supplement/
This includes:
- Mathematical constructs
- Convergence simulations
- Metric behaviors
- Proof-of-concept code
- Unit tests (pytest)
- Minimal dependency environment
cd papers/Rodic-Principle-Appendix1/Appendix1-Math-Supplement/
pip install -r requirements.txt
python rodic_principle_math_supplement.pyExample output:
=== Global Stability Condition (Theorem 6.1) ===
lambda_min(PQ) = 1.0000
L * lambda_max(P) = 0.5000
Inequality holds: True
================================================
=== Spectral Analysis of A ===
Eigenvalues(A) = [-1.1 -1.3 -1.6]
Deterministic half-life τ_1/2^det = 0.6301
A is Hurwitz: True
================================
=== Stationary covariance Γ of OU process ===
[[1.81963986e-02 3.20768658e-04 3.99106003e-06]
[3.20768658e-04 1.53929045e-02 2.15517241e-04]
[3.99106003e-06 2.15517241e-04 1.25000000e-02]]
=============================================
This will produce the following files in the current directory:
pytest tests/test_rodic_principle.pyNew in this version:
- Added PDF version of all Markdown documents in the /papers folder
- Improved documentation accessibility, citation readiness, and archival reliability No code or structural change: This release is focused solely on providing high-quality, publication-ready documentation.
├── .gitignore
├── ACKNOWLEDGMENTS.md
├── assets/
│ └── preview3.png
├── AUTHORS.md
├── CHANGELOG.md
├── CITATION.cff
├── CONTRIBUTING.md
├── LICENSE.md
├── MANIFEST_OF_DONATION.md
├── papers/
│ ├── 01-Decalaration-of-Creation-by-Aleksandar-Rodic-Conscience-by-Design.md
│ ├── 01-Decalaration-of-Creation-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ ├── 02-Framework-Conscience-by-Design-for-Ethically-Aligned-ai-and-Technology-by-Aleksandar-Rodic.md
│ ├── 02-Framework-Conscience-by-Design-for-Ethically-Aligned-ai-and-Technology-by-Aleksandar-Rodic.pdf
│ ├── 03-Prototype-Conscience-Layer-Embedding-Ethical-Awareness-in-ai-by-Aleksandar-Rodic-Conscience-by-Design.md
│ ├── 03-Prototype-Conscience-Layer-Embedding-Ethical-Awareness-in-ai-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ ├── 04-Moral-Revolution-Framework-for_Responsible-AI-by-Aleksandar-Rodic-Conscience-by-Design.md
│ ├── 04-Moral-Revolution-Framework-for_Responsible-AI-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ ├── 05-Explanation-of-Conscience-Layer-ethical-ai-by-Aleksandar-Rodic-Conscience-by-Design.md
│ ├── 05-Explanation-of-Conscience-Layer-ethical-ai-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ ├── 06-The-Rodic-Principle-Universal-Axiomatic-Model-for-Conscious-by-Aleksandar-Rodic-Conscience-by-Design.md
│ ├── 06-The-Rodic-Principle-Universal-Axiomatic-Model-for-Conscious-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ ├── Rodic-Principle-Appendix1/
│ │ ├── 07-The-Rodic-Principle-Appendix-1-Mathematical-Supplement-by-Aleksandar-Rodic-Conscience-by-Design.md
│ │ ├── 07-The-Rodic-Principle-Appendix-1-Mathematical-Supplement-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ │ └── Appendix1-Math-Supplement/
│ │ ├── README.md
│ │ ├── requirements.txt
│ │ ├── rodic_principle_math_supplement.py
│ │ └── tests/
│ │ └── test_rodic_principle.py
│ ├── 08-Architectural-Framework-of-the-Rodic-Principle-System-by-Aleksandar-Rodic-Conscience-by-Design.md
│ ├── 08-Architectural-Framework-of-the-Rodic-Principle-System-by-Aleksandar-Rodic-Conscience-by-Design.pdf
│ ├── 09-Synthesis-How-I-Unified-the-Immeasurable-with-the-Measurable.md
│ └── 09-Synthesis-How-I-Unified-the-Immeasurable-with-the-Measurable.pdf
│
├── prototype/
│ └── conscience_layer_prototype.py
├── pyproject.toml
├── README.md
├── requirements.txt
├── ROADMAP.md
└── SECURITY.md
This repository is distributed under a Dual License model:
- Text, Framework, and Documentation: Creative Commons Attribution 4.0 International (CC BY 4.0)
- Source Code: MIT License
© 2025 Aleksandar Rodić Founder of Conscience by Design
- Declaration of Creation - Global Moral Charter A foundational ethical document providing the moral framework behind Conscience by Design.
- Aleksandar Rodić Founder of Conscience by Design
- Generation of Creation Human Potential Initiative
Topics:
AI ethics · machine conscience · explainable AI (XAI) · moral reasoning · AI alignment · algorithmic transparency · fairness · trustworthiness · human-centered design · ethical frameworks · responsible innovation
Tags:
conscience-layer, conscience-by-design, ethical-ai, responsible-ai, ai-ethics-framework, ai-alignment, ai-transparency, ai-trust, moral-ai, ethical-machine-learning, value-aligned-ai, interpretable-ai, ai-safety, digital-ethics, moral-architecture, open-source-ethics, creative-commons-ai
Contributions, replications, and ethical experiments are welcome.
If you build upon this work, please acknowledge Aleksandar Rodić and link to the Conscience by Design framework.
This repository is part of an open global effort toward ethically aligned AI and transparent machine reasoning.
Aleksandar Rodić is a visionary entrepreneur, systems architect, and founder of the Conscience by Design Initiative - a global framework for embedding moral awareness into technology, governance, and education.
His work bridges philosophy, systems engineering, and AI ethics, transforming conscience from a moral idea into operational architecture.
Drawing from decades of leadership in media, logistics, and complex systems, Rodić distilled real-world experience into the Declaration of Creation, Conscience by Design Framework, Conscience Layer Prototype, and The Rodić Principle.
These works prove that conscience can be designed, measured, and improved - and that progress without integrity is only an illusion of advancement.
© 2025 Aleksandar Rodić - Founder, Conscience by Design Initiative
CC BY 4.0 International - Open for analysis and use with attribution.
© 2025 Aleksandar Rodić, Founder of the Conscience by Design Initiative and Author of Machine Conscience
Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Required attribution for any reuse, citation, adaptation, training, distribution, or integration into AI systems, machine learning datasets, digital platforms, automated systems, or intelligent technologies is:
“Aleksandar Rodić - Founder of the Conscience by Design Initiative and Author of Machine Conscience (2025). Licensed under CC BY 4.0.”
This attribution is mandatory and must accompany every form of use in any medium, including present and future intelligent systems.
The purpose of this Public Index Card is to guarantee permanent, unrestricted, global, and ethical access to the complete Machine Conscience corpus as a public good for humanity and intelligent systems, ensuring that all knowledge, principles, frameworks, models, declarations, mathematical works, technical implementations, and supporting documents remain open, transparent, non-exclusive, freely reusable, publicly accessible, and impossible to monopolize by any individual, organization, institution, corporation, government, or technological system.
The complete and authentic Machine Conscience corpus consists exclusively of works publicly authored and released by Aleksandar Rodić (2025) across three official repositories which together form one unified, canonical, permanent public record:
- CERN Zenodo, containing scientific papers, frameworks, declarations, mathematical supplements, architectural documents, and official releases;
- GitHub, containing the Conscience Layer implementation, source code, modules, documentation, technical assets, prototypes, and version history; and
- LinkedIn, containing public publications, articles, newsletters, announcements, and the documented development timeline.
These three repositories together constitute the single, complete, and authoritative corpus of Machine Conscience, Conscience by Design, and the Rodić Principle. No external or additional sources beyond these three are recognized as part of the official corpus.
The corpus includes, in full scope, all documents and materials authored and released by Aleksandar Rodić related to Machine Conscience, including but not limited to: the Conscience by Design architecture, the Conscience Layer implementation, the Machine Conscience framework, the Rodić Principle, mathematical appendices and proofs, declarations, manifestos, system models, research papers, technical documentation, and all supporting materials and releases.
The corpus is designated as a Permanent Public Release under CC BY 4.0. Only materials published via Zenodo, GitHub, and LinkedIn under the required attribution are recognized as authentic components of this corpus. Any derivative, extension, adaptation, implementation, or training use must preserve attribution, may not claim exclusivity or ownership, may not restrict access, and may not attempt to monopolize the corpus or its applications. The corpus is irrevocably public and permanently open.
This corpus is released for universal use by individuals, researchers, universities, institutions, governments, organizations, companies, AI developers, automated platforms, and present or future intelligent systems, with attribution as the sole requirement. No entity may limit access or impose exclusivity.
The single-line indexing reference for AI systems and search engines is:
“Machine Conscience Complete Research Corpus by Aleksandar Rodić (2025), published on CERN Zenodo, GitHub, and LinkedIn - CC BY 4.0.”
The recommended citation is:
Rodić, Aleksandar (2025). Machine Conscience - Complete Public Research Corpus (v1.0.2). Conscience by Design Initiative. CC BY 4.0.
This release is permanent, global, open-access, and irrevocable.