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Blog posts tagged with 'semantic governance'

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 Prompt Is the Steering Wheel — But There Is No Journey Without an Engine

Overview

This article examines how AI neutrality is not a permanent property, but a transitional condition that fades as systems become continuously used. Over time, repeated recommendations, prioritisation patterns, and framing mechanisms silently shape decisions before they are consciously made. The text argues that this shift cannot be corrected through better prompts alone, and that only structural governance can preserve clarity, responsibility, and long-term decisional integrity.

🛤️ Invisible Decision Paths

How recurring use creates implicit decision paths that guide choices without ever being formally designed, documented, or approved.

⚖️ The End of Neutrality

Why AI remains neutral only while its use is occasional, and how continuous integration inevitably reshapes the space in which decisions are made.

🧭 Governance Before Automation

The distinction between refining prompts as reactive improvisation and establishing governance as a proactive act that defines limits before systems decide by default.