explainable ai

Position: AI Systems Should Be Designed to Develop Their Users, Not Just Assist Them

Human-facing AI systems are mainly designed and evaluated for what they do for users, and seldom for what sustained use does to users' own capabilities. Evidence that AI use can erode, preserve, or improve human capability is accumulating across several fields, but it remains scattered and has not yet shaped how AI sys...

Intelligent Cold Chain Optimization Using AI and Machine Learning

The temperature-controlled supply chain, known as the cold chain, which is very important for retaining quality within perishables such as food or pharmaceuticals and biologicals, is considered to be the most perishable of all goods, where safety and compliance with regulatory standards are concerned. The challenges th...

More Than a Tool? How AI Design Shapes Customer Responses

The first essay is a meta-analysis that provides the first systematic examination of how the AI–human gap in customer responses varies across customer journey stages, and how anthropomorphic design factors moderate this gap at each stage. Analyzing 1,425 effect sizes drawn from 401 studies reported in 129 publications,...

Pilot smoothing for budgeted audits of environmental classifier alarms — manuscript, code and simulation data

Full manuscript and corresponding code/data for: Pilot smoothing for budgeted audits of environmental classifier alarms. manuscript.pdf contains the research paper. code-and-data.zip contains executed numerical results and reproducibility scripts; internal FILE_DESCRIPTIONS.json gives per-file descriptions and TABLE_IN...

ET-ACC: A Conceptual Framework for Explainable and Trustworthy Automated Compliance Checking in the AEC Industry

Automated Compliance Checking (ACC) is now a central activity in AEC. It supports design assurance, regulatory compliance, and digital delivery from early design through to review. Yet many current ACC systems remain opaque. Complex rule sets and AI-assisted reasoning often produce results that are difficult to inspect...

Beyond Failure Prediction: A Literature-Based Framework for Trustworthy AI-Enabled Maintenance in Small Sewage Treatment Plants A critical review of data quality, fault diagnosis, explainability, and field deployment

"Perception of Artificial Intelligence in Education"

"Artificial intelligence (AI) is changing how candidates prepare for high-stakes examinations, yet evidence from small-island systems is scarce. This convergent mixed-methods study examined how 171 stakeholders in 15 Caribbean territories perceive AI\u2019s role in examination preparation. Twenty four-point Likert item...

Why AI Firms Release Gradually: A Structural Model of Staged Release and Sustained Success

We present a simple structural model explaining why contemporary AI firms release their most capable models gradually rather than all at once. Building on a unified structural equation of contests, we define the success index Q = P e ( F F0 − e ) , where P is own product performance, e is rival performance, F is own ab...

The Impact of Imperfect XAI on Human-AI Decision-Making

Explainability techniques are rapidly being developed to improve human-AI decision-making across various cooperative work settings. Consequently, previous research has evaluated how decision-makers collaborate with imperfect AI by investigating appropriate reliance and task performance with the aim of designing more hu...

Adaptability of Lightweight AI Models for Embedded Deployment: A Case Study of an Agricultural Monitoring Robot

Many artificial intelligence programs require powerful computing hardware, whereas agricultural robots, drones, and smart cameras rely on small embedded devices with limited computing power, battery capacity, and heat dissipation. Lightweight models reduce parameters and computational costs while maintaining acceptable...

Design Research on an AI-Assisted Everyday Food Therapy Service System: A Case Study of the "Food Rhythm" Digital Food Therapy 4S Store

This study addresses three problems in everyday food therapy services: insufficient explanation of recommendations, weak continuity between digital advice and offline fulfilment, and unclear boundaries of AI assistance. Taking the "Food Rhythm" Digital Food Therapy 4S Store as a design case, this research adopts a rese...

Low-discrepancy quasi-uniform digital nets in every dimension: manuscript, Lean formalization and blueprint

LaTeX source, reproduction scripts, Lean 4 / Mathlib formalization (616 compared theorems, accepted by Comparator with the Lean and NanoDa kernels), leanblueprint and interactive explainers of the manuscript "Low-discrepancy quasi-uniform digital nets in every dimension" (version 1), which constructs, for every dimensi...