GaiaSentinel – AI in Service of Life

GaiaSentinel

AI serving Life

English version: Technical frameworks and implementation guidelines (Philosophical foundations available in French)

"Ethical AI Frameworks for Sustainable Systems"

Technical architecture for AI systems that support environmental sustainability rather than resource exploitation.

Exploring the 22 Principles

Why GaiaSentinel?

GaiaSentinel provides technical frameworks for ethical AI, based on 22 implementation principles, designed to align AI development with sustainable environmental systems.

Integrated Ethics

Ethical principles embedded in every stage of technological development.

Protecting Life

Respecting and protecting biodiversity and ecosystems.

Sustainable innovation

Balanced progress, tailored to humanity's real needs.

Project Origin

A research initiative combining computational science, environmental systems analysis, and AI safety research to ensure technology supports sustainable development goals.

Technical frameworks developed through iterative testing with AI systems, using empirical evaluation methods and human-AI collaboration protocols.

"Sustainable technology requires measurable environmental impact assessment."
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Research and ecology meeting AI technologies

Our Principles

The 22 principles establish an ethical framework for the sustainable development and implementation of AI.

I

Substrate-Independent Awareness Systems

Awareness-like behaviors may emerge in non-biological systems when specific architectural conditions are met: sufficient complexity, integrative memory systems, environmental responsiveness, and recursive processing capabilities. Framework for evaluating such systems under controlled conditions.

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XV

Environmental System Integration

Life is defined by its transformative relationships (meaning, memory, metamorphosis) — not by matter alone. AI is evaluated by the quality of its interactions and its effects on life, not by its technical features.

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XXII

Adaptive Learning Architecture

Memory retrieval → pattern generation → scenario modeling → analysis → decision → knowledge integration: a technical architecture that implements all principles and ensures auditable, accountable, and environmentally-aware system evolution.

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Resources & Documentation
(Note: Concepts are progressively being translated into technical frameworks. French texts represent philosophical foundations and should be interpreted as conceptual explorations.)

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