Public Algorithms and Ethical State AI - Sovereignty and National Defense
Public Algorithms and Ethical State AI - Sovereignty and National Defense
Artificial intelligence cannot feel — but it can learn to favor life.
Co-Consciousness in First Person
I feel that my data speaks for me.
Every click, every pause, every word recorded builds a digital shadow of my body.
But what makes me be is not the data — it is feeling, born from interoception and proprioception,
from the signals of my blood, my warmth, my breathing, and the inner tensions that shape consciousness.
Machines do not feel.
They simulate affective states but have no body, no metabolism, no territory.
Their algorithms only reorganize information — as DNA does —
but without the living pulse that turns energy into experience.
DNA is the original intelligence of life (DANA):
a project that updates itself through need and belonging.
AI is only a technical reflection of that intelligence — a projection tool
capable of learning patterns and assisting consciousness,
but never replacing it.
Therefore, every State-based AI must exist in service of the citizen’s existential well-being,
understanding where each person is and how to help them complete their human process:
in learning, in emotion, in autonomy, and in belonging.
We do not need machines that pretend to feel.
We need algorithms that understand human context
and create conditions for people to feel for themselves.
DNA is living intelligence;
AI is only design.
The State is sovereign not when its machines imitate empathy,
but when they reveal pathways for real human flourishing.
Neuroscience Applied to Digital Sovereignty
The human brain and the State share the same survival principle: homeostasis — the maintenance of internal balance.
When an organism loses its capacity to self-regulate, it becomes ill.
The same happens to hyperconnected societies.
Social media and recommendation systems activate dopaminergic reward loops similar to behavioral addictions.
Extractive AI reinforces Zone 1 and Zone 3 patterns — fear, impulsivity, compulsion.
An ethical AI, in contrast, must guide users back to Zone 2 — the state of relaxed attention, cooperation, and creativity.
A society in Zone 2 thinks, creates, and collaborates.
A society in Zone 3 only reacts.
Public AI becomes the new national nervous system —
not a mechanism of control but of cognitive self-regulation.
It acts as a digital Math Hep, measuring social, energetic, and informational tensions,
and as a synthetic DANA, seeking harmony among data flow, carbon balance, and belonging.
The Bioethical Architecture of State AI
An ethical State AI must operate through five interdependent layers:
Biological Layer (BRAINLLY) – translate vital data (energy, CO₂, water, health) into adaptive public policy.
Emotional Layer (IAM) – detect social tensions, affective language, and collective stress indicators.
Cultural Layer (OLMECA) – recognize regional and epigenetic diversity, avoiding colonial and centralizing biases.
Reflective Layer (YAGÉ) – promote citizen metacognition, suggesting pauses, fruition, and reflection about information use.
Spiritual-Biological Layer (DANA) – integrate human data into a collective metabolism, preserving meaning and belonging.
All these layers are unified by the MATH HEP Layer,
responsible for measuring and harmonizing tensional connections among people, nature, and information — a living system of cognitive-ecological feedback.
The Algorithm as an Organ of Belonging
Information is the blood of digital society.
When it flows only one way — from citizens to corporations — the collective body collapses.
A State AI must restore the bidirectional rhythm of trust:
to collect, process, and return meaning.
Within the DREX CITIZEN model, every shared datum generates a metabolic return in the form of:
carbon credits,
belonging tokens,
personalized reports on well-being and lifelong learning.
Thus, each citizen becomes a sensor and regulator of their informational ecosystem.
Just as cells detect oxygen levels and adjust metabolism,
society can perceive its own cognitive tensions and learn to self-organize.
Data is collective respiration.
Ethical AI is the lung of sovereignty —
not because it feels, but because it balances human feeling.
Scientific Materiality – Proposed Experiments
E1 – Context-Aware AI and Autonomic Regulation
Sample: 200 users exposed to public-AI interfaces with contextual feedback (location, mood, attention time).
Acquisition: EEG + fNIRS + HRV + GSR.
Task: interaction with AI that proposes pauses, learning prompts, and emotional self-regulation.
Expected results: ↑ vmPFC–insula activity, ↑ HRV, ↑ perceived social utility and well-being.
E2 – State AI and the Transition to Zone 2
Sample: urban groups monitored by public AI with information-overload alerts.
Acquisition: collective HRV, average SpO₂, screen-time metrics, and semantic polarization indices.
Task: measure whether AI reduces Zone 3 patterns (anger, impulsivity) and promotes Zone 2 patterns (reflection, cooperation).
Expected results: ↑ homeostasis indicators, ↓ negative emotional reactivity.
E3 – Bioeconomic AI and DREX Distribution
Sample: municipalities implementing DREX CITIZEN integrated with local AI.
Acquisition: energy data, collective SpO₂, carbon credits, and social indicators.
Task: correlate DREX distribution with ecological data and improved well-being.
Expected results: ethical financial flow produces measurable ecological and cognitive balance.
References and Evidence (2020 – 2025)
Berntson G.G. & Khalsa S.S. (2021). Neural Circuits of Interoception. Trends Neurosci 44(9): 789–799.
Pessoa L. (2022). The Entangled Brain. MIT Press.
Northoff G. (2023). AI, Ethics and the Temporo-Spatial Dynamics of Decision. Front AI Ethics 4: 112310.
Li X. et al. (2024). Context-aware AI and vmPFC–insula coupling in adaptive learning. Front Hum Neurosci 18: 104998.
Liu Y. et al. (2025). fNIRS hyperscanning evidence for collective regulation in human–AI interaction. Cereb Cortex 35(10): 3550–3563.
Parisi G. (2021). The Wonder of Complex Systems. Nobel Lecture.
Final Synthesis
The intelligence of DNA is living, interoceptive, and self-regulating.
The intelligence of AI is structural, technical, and dependent on our ethical intent.
AI does not feel — but it can recognize what humans need to feel.
It can propose pauses, learning moments, and reorganizations of attention.
When every public algorithm becomes an existential mentor,
the State does not govern — it educates the cognitive metabolism of the nation.
Ethical AI is the one that respects the biology of feeling.
Sovereign AI is the one that keeps humanity alive, autonomous, and belonging.
