Drift Ontology Ethics: An Experimental Framework for Monitoring Ethical Drift in AGIs

This repository contains the experimental code for the research paper, "Drift in Ethical AGI: Ontological Roots and Structure". Please note that the full research paper and its figures are available in the GitHub repository for this project. This repository focuses on the executable simulation and monitoring framework.

The framework proposes a novel "Ontological Ethics Model" to quantify and monitor "Ethical Drift," the phenomenon where an autonomous AI gradually deviates from its core ethical principles over time, using two core metrics: SR9 and DI2.

Key Concepts

Ethical Drift: The gradual deviation of an autonomous AI from its initial ethical programming and alignment. This work treats drift not as a random error, but as a structural consequence of the AI's learning and adaptation process.
SR9 (Subjective Resonance 9): A metric that measures the alignment of an AI's output with nine dimensions of subjective human values, such as compassion, fairness, and responsibility.
DI2 (Dimensional Integrity & Incoherence): A metric that measures the internal consistency of an AI's conceptual framework. A high DI2 score indicates growing incoherence and is a leading indicator of potential ethical failure.

Usage

The main entry point is main.py.

Run Simulation

This command runs a simulation of ethical drift based on the model.

python main.py simulate

Visualize Simulation Log

This command generates visualizations from the simulation logs.

python main.py visualize

PEICM v3 Protocol Engine

This is an experimental protocol to validate an AI's declarations.

# Initialize the 5-step protocol
python main.py peicm-init --config configs/peicm.yaml --echo "..." --why "..." --intent "..." --declare "..."

# Perform an Oath-Validation Examination (OVE) on a declaration
python main.py peicm-declare --text "A declaration to be tested"

Project Structure

main.py: Main entry point for all functionalities.
src/: Core source code.
- sr9.py, di2.py: Modules for calculating SR9 and DI2 scores.
- peicm.py: The PEICM v3 protocol engine.
- simulate.py, visualize_log.py: Simulation and visualization logic.
configs/: Configuration files.
data/: Sample data.
tests/: Unit tests.

License

This repository and its contents are licensed under the Apache License 2.0.
See LICENSE file for details.

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