explainable ai

An AI- and IoT-Enabled Smart Food Donation Management System with Explainable Food-Risk Prediction, Safe-Time Forecasting and Automated NGO Assignment

Surplus cooked food from restaurants, hotels and cafés is often discarded because donors cannot verify its safety or reach an NGO in time. This paper presents a Smart Food Donation Management System that combines low-cost IoT sensing, explainable machine learning and automated NGO allocation in one web platform. An ESP...

From Compliance Burden to Organizational Resilience: A System Dynamics Model of AI Risk Governance in SMEs

The paper provides a system dynamics model that would explain the way in which small and medium-sized enterprises (SMEs) can use AI compliance as an administrative burden, rather than an organizational resilience capacity. Based on the dynamic capabilities theory, organizational resilience studies, AI risk management p...

LUCID: Lipid-featured Urine Cytology with Intelligent Detection for Non-Invasive Early Diagnosis of Bladder Cancer

Leveraging its non-invasive and convenient nature, urinary cytology offers a way for the early diagnosis and surveillance of bladder cancer (BCa). However, its sensitivity remains substantially inferior to the histopathological gold standard, rendering it inadequate to support precise clinical diagnosis. Here, we devel...

CanaryCap-Stego: Steganographic Capability Canaries for Detecting Agentic-AI Tool Misuse and Hidden Retrieval Abuse

The final CanaryCap-Stego research package includes the original manuscript and supplementary materials, alongside an implementation. Its documentation provides: A quick-start guide for installation, configuration, and execution. An inventory of the original research files, with checksums to verify their integrity. Tec...

Beyond AI Tutors: A Human-Centred Framework for Goal-Driven Learning Agents in Education

Artificial intelligence is changing education by offering new ways to explain concepts, support teachers, and personalise student learning. However, many conventional educational chatbots focus on answering individual questions rather than coordinating the complete learning process. Students often need more than an ans...

Multilayer Transparent Electrodes: Design, Fabrication, Performance, and Applications

Indium tin oxide (ITO) is the benchmark transparent conductor for displays and for electrochemical and optical sensors, but its brittleness, cost, and indium supply risk limit its use in flexible, large-area devices. Oxide/metal/oxide multilayers, namely transparent conducting oxide (TCO)/metal/TCO stacks such as ITO/m...

Balancing Innovation with Ethical Values: A Bibliometric Analysis of Ethical AI Research Trends

The ethical aspect of artificial intelligence (AI) has received a lot of academic interest as AI technologies continue to draw societies, economies, and systems of governance. The bibliometric survey provides a systematic assessment of the research trend, the topic development, and an impactful contribution to the rese...

Why Enterprise AI Projects Fail: Platform-First Thinking

A $2.3M AI platform launch resulted in zero adoption after 90 days. David Ohnstad explains the critical mistake: building infrastructure before understanding what problems it actually solves. The real roadmap starts with user demand, not infrastructure. Full article: https://davidohnstad.net/why-enterprise-ai-projects-...

AI-Powered Robo-Advisors: Transforming Investment Decision-Making and Portfolio Management

The advent of artificial intelligence (AI) based robo-advisor has become a disruptive game-changer in the field of investment advisory service, altering the manner in which portfolios are managed as well as how individuals are making investing choices. These platforms provide cost-efficient, personalized and scalable f...

An Explainable and Adaptive Collaboration Framework for Human-AI Cooperation in Type 1 Diabetes Ecosystems

Reliability-Audited Explainable AI for Multi-Class Skin-Lesion 2 Triage Under Cross-Device Domain Shift

Background/Objectives: Reliable skin-lesion AI requires evaluation beyond the development distribution. This study assessed whether a source-developed multi-class system preserves discrimination and reliability when transferred to an unseen smartphone-acquired domain. Methods: A source-only multimodal four-class classi...

Key Data Analytics Trends to Explore Before Choosing a Data Analytics

Data analytics is changing how organisations operate, plan, and compete. Businesses use data to understand customer behaviour, improve services, reduce costs, and identify new opportunities. As digital systems expand, companies collect information from websites, applications, transactions, supply chains, and customer i...