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
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 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.
conscience-layer-prototype/
├── conscience_layer.py # Core implementation
├── README.md # Documentation (this file)
├── LICENSE.md # Dual License (CC BY 4.0 + MIT)
└── .gitignore
pip install torch numpy statsmodels scikit-learn
python conscience_layer.pyExample 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': [...]}
The Conscience by Design Framework was created to align technological progress
with ethical intelligence and human values.
It argues that responsible AI cannot rely only on external regulation,
but must include an internal moral architecture - a conscience.
The Conscience Layer Prototype demonstrates this principle in practice,
making ethical reflection a built-in process rather than a post-factum correction.
“The true evolution of intelligence begins when technology learns to care.”
- Aleksandar Rodić, Conscience by Design (2025)
Related concepts: moral AI systems, digital ethics, AI self-regulation, human-AI coexistence, trust-by-design.
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
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.