Perspective Beyond · Mind Atlas

AI Integrity Architecture: Toward Expert-System Envelopes Around Statistical AI

T385

The integration of artificial intelligence based on statistical and foundational models into mission-critical systems is giving rise to the emergence of a new architectural “integrity” layer, whose purpose is to impose constraints, guarantee explainability, and maintain traceability under increasingly strict regulatory and safety requirements. This layer adopts patterns very close to those of classical expert systems: explicit knowledge, deterministic inference, auditable rules, and structured explanation capability. This article analyzes the regulatory and technical trends that push toward constrained and explainable architectures, reviews the notion of expert systems, and argues that modern AI guardrails in mission-critical environments are, in essence, expert systems that wrap and condition probabilistic models.

Complete text of this card Card and relationship data

Read the source publication

Source document and its cards

Reading perspectives

Relationships of this piece

8 connections.