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Blog posts tagged with 'ai behavior'

What is the Neural Foundation – and why it aligns with the EU AI Act

Overview

This article presents the Neural Foundation as a structural approach to AI governance, shifting the focus from what AI can do to how it should behave in human contexts. Rather than optimizing only for outputs or prompts, it establishes ethical, semantic, and operational boundaries that keep human accountability at the center, in native alignment with the European AI Act.

🧠 From Capability to Behavior

The Neural Foundation redefines AI not by its technical capabilities, but by what is acceptable for it to do in the human world, placing principles and boundaries before execution.

⚖️ Human Centrality

The final decision always remains human. AI does not assume moral or legal authority, clarifies its limits and uncertainties, and operates within declared principles.

🧭 Native Alignment with the AI Act

The Neural Foundation does not retrofit governance after the fact. It starts from the same principle as the AI Act: the greater the human impact of AI, the greater the transparency, control, and accountability must be.

The real problem with AI is not the answer. It’s the behavior.

Overview

This article examines why two users can get radically different results using the same AI model. The difference isn’t in the model, nor in the punctual quality of the answers, but in the AI’s behavior over time: how it maintains judgment, handles risk, closes reasoning, and reacts when the cost of error rises.

🧠 Cognitive Architecture

A cognitive architecture doesn’t make AI smarter — it makes it more consistent. Instead of improvising one answer at a time, the AI operates within a framework that defines priorities, boundaries, and closure criteria, ensuring stability in repeated use.

⚖️ Behavior vs Answer

The article shows why correct answers can lead to wrong outcomes when judgment is lacking. The real difference isn’t in the text produced, but in the AI’s ability to slow down, clarify, refuse shortcuts, and close cycles when necessary.

🔒 Decision and Continuity

By prioritizing conscious closure and explicit continuity (instead of infinite conversation), a cognitive architecture reduces contradictions, prevents dependency, and creates an environment for more solid, reusable, and defensible decision‑making.

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GLOBAL HQ

Leça da Palmeira · Portugal
Operating Internationally

🧠

AI & GOVERNANCE

AI Systems Architecture
Governance Frameworks · Certification

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