explainable ai

Intelligent and Non-Intelligent Supervisory Data-Driven Tools: A General Legal Framework for Proportionate Oversight and Reciprocal Control within the Theory of Data-Driven Tools, with Application to AI-Assisted Competition Law Enforcement

The expanding use of intelligent and non-intelligent data-driven tools across technology-mediated environments has improved operational efficiency while increasing the legal significance of errors in data acquisition, processing, state detection, and automated execution. Building on the “Theory of Intelligent and Non-I...

Climate Risk Prediction System

This paper presents ClimateGuard, a localized, explainable, multi-hazard climate risk prediction system integrating satellite-derived geospatial indicators, real-time meteorological data, and machine learning for climate hazard forecasting. The system combines Random Forest and XGBoost models with environmental and dis...

Contextualizing Trust: Designing Transparent Generative Artificial Intelligence Systems for Collaborative Learning

Purpose. Students’ trust in generative artificial intelligence (GenAI) learning applications is critical to determine the adoption and use of these systems. The purpose of this study is to explore students’ trust in GenAI and how to design for trust in collaborative learning tasks. We prototyped different interface des...

Harbor: A framework for evaluating and optimizing agents and models in container environments

What's Changed Fix FX installation and background persistence by @DarlingtonDeveloper in https://github.com/harbor-framework/harbor/pull/2829 Migrate agents to structured capability declarations by @alexgshaw in https://github.com/harbor-framework/harbor/pull/2834 fix(rewardkit): trajectory criteria default to /logs/ag...

Maya Node A Consent-and-Control Design Approach for AI Systems

AI systems are often evaluated for what they can produce, but not with equal discipline for what they are allowed to do, whose authority they are acting under, when that authority expires, or how a person can stop and correct them. Maya Node is a consent-and-control design approach that treats those questions as first-...

A lightweight and explainable conversational AI framework for natural language SQL learning without large language models

Maya Node A Consent-and-Control Design Approach for AI Systems

AI systems are often evaluated for what they can produce, but not with equal discipline for what they are allowed to do, whose authority they are acting under, when that authority expires, or how a person can stop and correct them. Maya Node is a consent-and-control design approach that treats those questions as first-...

Impact of AI on Students' Performance in Economics in Kaduna Metropolis Secondary Schools

This study investigated the effect of Artificial Intelligence (AI) tools on the academic performance of Senior Secondary School students in Economics in selected schools within Kaduna Metropolis, Kaduna State, Nigeria. Adopting a descriptive correlational survey design, data were collected from five hundred (500) Senio...

Effectiveness of AI-Generated Study Materials versus Traditional Teaching Methods in Higher Education

The increasing integration of artificial intelligence (AI) in higher education has significantly trans-formed the creation and dissemination of study materials. While AI-generated content offers advantages such as accessibility, scalability, and instant feedback, concerns remain regarding its depth, contex-tual relevan...

Dataset for: Explainable AI in │ │ Title │ Medicine — A Systematic Literature Mapping Study

This repository contains the extraction dataset, the explanation-evaluation reclassification, and the association analysis supporting the systematic mapping study of explainable artificial intelligence (XAI) in medicine (383 studies from Q1/Q2-indexed journals, 2020–2025).

Accessibility-Aware Adaptive AI Interfaces for Intelligent Web Applications: A Human-in-the-Loop Framework

Intelligent web applications increasingly personalize content, navigation and task support through artificial intelligence. However, many adaptive interfaces are optimized for engagement or efficiency rather than accessibility, which can create new barriers for users with visual, motor, cognitive or situational limitat...

The Missing "A" in ELSI: Why Artificial Intelligence Requires an Aesthetic Dimension

Artificial intelligence has intensified ethical, legal, and social inquiry, but generative systems expose a domain-specific limit in the conventional ELSI framework. This article argues that when AI operates as a cultural producer or perceptual mediator, aesthetics constitutes an analytically distinct dimension. AI-gen...