explainable ai

AI myth as a new category of myth

This chapter situates AI myth within the broader landscape of mythological theory by evaluating major theories of myth to determine their alignment and compatibility with AI myth and its implications. Drawing on theories from anthropology, sociology, psychology, theology, and political science, this chapter will argue...

Explainable hybrid consensus feature selection with VIF-Controlled multicollinearity for Voice-Based diabetes prediction

A multimodal cross-modal explainable retrieval-augmented generation framework for hallucination-grounded visual question answering

Recent multimodal large language models (MLLMs) have achieved remarkable performance on visual question answering (VQA) and multimodal reasoning tasks. But one overlooked failure case stubbornly persists: when answers require simultaneous synthesis of evidence from natural images, free-form text, and structured tables,...

Creating Educational Documentation with AI

T his chapter covers the use of all the artificial intelligences (AIs) explained so far (except Brisk Teaching), to demonstrate how teachers can combine them to create any type of educational document, regardless of its application or subject.

The Gut–Brain Connection and the Influence of the Microbiome on Cognition

Cognitive health is not governed by the brain in isolation; it is actively co-regulated by the gut–brain–microbiome axis. This work argues that microbial composition and function are not passive correlates of brain health but causal drivers of neuroplasticity, neuro-inflammation, and long-term cognitive resilience. Tri...

V3 Architecture — Visual Atlas of the Periodic Table: 118 Elements as Vortex Clusters (AI-Generated Illustrations)

V3 ARCHITECTURE — COMPLETE PERIODIC TABLE PACKAGECode + 118 Visual Plates + Geometry of Matter + Nuclear Stability Simulation This deposit contains the complete V3 Architecture package for the periodic table,including: 1. ADA SPARK SOURCE CODE (100% GNATprove proof obligations) - V3_Unified.ads/adb : Complete V3 Archit...

Predicción de la Eficiencia en Teleportación Cuántica en Presencia de Ruido Mediante Aprendizaje Automático e Inteligencia Artificial Explicable

Este repositorio recoge el código desarrollado para mi Trabajo de Fin de Grado (TFG) en Física en la Universidad Europea de Madrid. Este código da soporte a los experimentos y resultados presentados en el mismo. El código está desarrollado en el entorno de Google Colab y utiliza Qiskit y técnicas de Machine Learning pa...

SMILE — Sustainable Methodology for Impact Lifecycle Enablement (v6.4.5): Operational Grammar for Auditable, Shared and Forkable Reality

Version 6.4.5 makes the one-page methodology overview readable. In v6.4.4 the figure was 1999 pixels compressed into a 6.6-inch text column — about 303 dpi, roughly 4-point type — and was attached separately, so the record opened on the image rather than the paper. Here the figure is given its own landscape page at ful...

The data management crisis behind AI-based brain MRI diagnosis:Heterogeneity, governance, and reproducibility

AI-based brain magnetic resonance imaging (MRI) classifiers face a persistent gap between laboratory performance and clinical deployability. We argue the bottleneck is not model architecture but the absence of principled data management infrastructure. Drawing on our ongoing work in explainable multi-disease MRI classi...

Vision-Based Machine Learning voor Chemische Procescontrole: Een Haalbaarheidsstudie over Meerdere Toepassingen

This research is motivated by the increasing complexity of chemical processes and the growing demand for robust, non-invasive monitoring and control solutions in the context of the ongoing digitalization of the chemical industry. Many critical aspects of chemical processes, such as phase behavior, flow patterns, and fo...

The Intent Bottleneck: When AI Compresses Delivery, Strategy Becomes the Constraint

This working paper argues that AI-native delivery compresses only the final stage of a six-stage chain running from an institution's covenant with those it serves to running software, so that by Amdahl's law the constraint moves upstream into how organisations form, prioritise, and preserve intent. It introduces intent...

Opening the Black Box a Crack: A Interdisciplinary Mapping Review of Explainability and Interpretability of Black-Box Models

This article presents a narrative review of Explainability and Interpretability of Black-Box Models in the context of Artificial Intelligence. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an...