explainable ai

AI‑BASED VOICE ASSISTANTS IN FAMILIES WITH PRESCHOOL‑AGE CHILDREN: RISKS OF A DEFICIT IN THE EMOTIONAL TRANSMISSION OF FAIRY‑TALE NARRATIVE

This article is devoted to studying the development of emotional intelligence in preschool‑age children when conveying a fairy‑tale narrative using an AI‑based voice assistant. The scientific novelty of the study lies in examining the interaction between preschool‑age children and voice assistants and identifying the s...

Development and Evaluation of Enhanced Machine Learning Models for Tumor Severity Classification Through Integrated Feature Extraction and Selection Techniques

The precise categorisation of the severity of tumours is an important function in medicine, as it is a vital part of deciding treatment and predicting patient outcome. We offer an integrated pipeline for developing and evaluating the latest machine learning methods for tumour severity classification. We apply advanced...

A Systematic Literature Review of Machine Learning, Deep Learning, and Explainable AI for Predicting Mechanical Performance and Microplastic Release in Plastic Waste-Modified Asphalt

A new Explainable Deep Learning (XDL) architecture is suggested that allows predicting mechanical performance and microplastic emissions simultaneously with greater interpretability and will be used to develop data-driven, transparent, and sustainable pavement design strategies.

Understanding preferences for explainable AI: A study on LIME variations.

Adoption of Digitalization in Construction Safety: A TCCM-based Literature Synthesis and Development of the DSRAO Framework

Digitalization has been increasingly portrayed as a game-changing approach to enhancing construction safety through the adoption of technologies like Building Information Modelling (BIM), sensors, Artificial Intelligence (AI), and data analytics-based safety tools. While research interest and adoption of digital safety...

AI-Driven Data Governance: Intelligent Metadata, Lineage, and Compliance Automation in Cloud Data Platforms

This research examines how artificial intelligence and machine learning can automate and improve data governance across cloud data platforms. It focuses on intelligent metadata management, automated data lineage tracking, and continuous regulatory compliance monitoring. The proposed framework integrates machine learnin...

Number Behaviorism and the Number Periodic Table in Mathematics Education

We propose a new approach to mathematics education in which the objective is to understand the structural reasons behind number properties. We call this approach Number Behaviorism (NB) and present it as an additional teaching tool that can help mathematics reach more learners. Its starting point is an invitation: obse...

Neither substitutable for the other: non-commensurable contributions in human-machine collaboration

AI-assisted science increasingly asks who contributed what, and answers with a share: the machine did eighty percent, so the human did twenty. We argue that the shared scale is the problem. Under an observation protocol the state of the world is not a point but an equivalence class, and work on it divides into two oper...

Replication Materials for: "Explainable Machine Learning for SDG 3: Nonlinear Patterns, Domain Specificity, and Information Structures Across OECD Health Outcomes"

Description: This repository contains the complete empirical replication pipeline for the research paper titled “Explainable Machine Learning for SDG 3: Nonlinear Patterns, Domain Specificity, and Information Structures Across OECD Health Outcomes”. The study investigates the predictive performance and explainable driv...

Explainable AI for Multi-Disease Prediction in Poultry

Yes, ChatGPT (and other models) need a psychiatrist: parallels between experimental neuropsychiatry and AI alignment science

AI chatbots (such as ChatGPT or Claude) sometimes state false information with confidence, a behavior popularly termed “hallucination.” In their recent perspective, de Boer et al. [1] compared these errors to confabulation in patients with memory disorders, and asked whether ChatGPT needs a psychiatrist. I argue that i...

Smart Manufacturing and Industry 4.0 Explained: IoT, AI, Automation and Smart Factories

Context & Educational Focus: This open educational resource delivers a comprehensive, mathematically rigorous treatment of Smart Manufacturing and Industry 4.0 within modern production engineering. Formulated in alignment with the Washington Accord, EUR-ACE, and IEA global frameworks, the curriculum examines how physic...