explainable ai

Experimental Study and Physics-Informed Machine Learning on Sustainable Concrete Using Sugarcane Bagasse Ash and Distilled Sewage Water

The increasing environmental burden associated with cement production and freshwater consumption has created a need for sustainable alternatives in concrete production. This study investigates the combined utilization of Sugarcane Bagasse Ash (SCBA) as a partial cement replacement and Distilled SewageWater (DSW) as an...

Uncertainty-Aware Deep Learning for Skin Cancer Diagnosis

Although recent models achieve high diagnostic accuracy, uncertainty reporting remains limited, uncertainty thresholds are rarely validated, calibration practices are inconsistent, and external clinical evaluation is scarce, the synthesis shows that although recent models achieve high diagnostic accuracy, uncertainty r...

TRUSTWORTHY ARTIFICIAL INTELLIGENCE FOR MEDICAL IMAGE ANALYSIS: A COMPREHENSIVE REVIEW OF ROBUST DEEP LEARNING TECHNIQUES FOR CLINICAL DECISION SUPPORT

Medical image analysis has been revolutionized by the advent of artificial intelligence, which has made automated disease detection, segmentation and diagnosis possible across a range of imaging modalities, thus supporting clinical decisions. However, the increasing complexity of deep learning models has raised concern...

Artificial Intelligence Models for Early Disease Detection Using Clinical Data

In a variety of chronic and acute diseases, earlier detection of disease is a major determinant of better patient outcomes, better treatment costs savings and reduced mortality. The current diagnostic process, mostly manual, manual interpretation of clinical data, is limited by the capacity of the human mind, by inter-...

FinTech Awareness and Adoption Intention Toward AI-Enabled Mastercard Digital Payment Solutions in Bangladesh

Digital payment systems increasingly combine card networks, mobile interfaces, contactless technologies, automated risk controls and data-driven services. In this environment, consumers’ awareness of financial technology may shape how they perceive the advantages of digital payment and whether they intend to adopt or i...

Ethics-Aware Hybrid Graph–Neuro-Symbolic Framework for Adaptive Fraud Management in Large-Scale Financial Systems

Fraud management systems are becoming more and more based on data-driven artificial intelligence processes to identify anomalous and malicious behavior in massive digital ecosystems. Nevertheless, the current solutions are usually characterized by low flexibility, inability to be interpreted, and such ethical limitatio...

Teaching AI, teaching bias: addressing gender inequality in public health education

Artificial intelligence increasingly shapes healthcare, public health and health professions education. However, predictive and generative systems can reproduce or amplify longstanding inequalities embedded in data, institutions and established knowledge structures. Public health education therefore needs to connect te...

Less Afraid, Still Wary: Europeans’ Fear of AI-Driven Job Loss Before and After Generative AI

Machine Learning-Based Vulnerability Detection in AI-Generated Source Code: A Systematic Literature Review and Research Directions

The rapid adoption of Generative AI and Large Language Models (LLMs) has transformed software development, but AI-generated code may contain security vulnerabilities such as injection flaws, weak authentication, and unsafe API usage. Traditional rule-based and static-analysis techniques struggle with semantically diver...

Token Ratios of the European Union's Official Languages Across Nine 2026 Tokenizers, and an Exploratory Tokenizer Transplant

Language model services count, limit and bill text in tokens, but the number of tokens needed for the same content depends on the language and on the tokenizer. We measure this token ratio relative to English for the 23 non-English official languages of the European Union on nine tokenizers of 2026: six company tokeniz...

Think Once, Reflect Twice: How Feedback Shapes Human-AI Collaboration

As artificial intelligence (AI) increasingly supports human decision-making in high-stakes domains, designing effective human-AI collaboration becomes critical. Successful collaboration requires humans to reflect on decision-making processes and adjust their strategies accordingly. Current research typically investigat...

Likelihood Is Not Authorship: Can We Reliably Measure Human Contribution in AI-Assisted Writing?

This work introduces SPECIFICITY PADDING that simply asks the model to copy a few random IDs from the prompt, and that alone makes a title-only request look more human than one that supplies the article's key ideas.