explainable ai

Elaborating Explainable AI for Software Fault Prediction: Interpretability Techniques and Performance Insights

Modeling the pathway from transformational leadership to innovative work behavior via AI readiness: advancing SDG 4 and SDG 8 in Indonesian higher education

Drawing on a cross-sectional survey of 250 lecturers and administrative staff from Indonesian higher education institutions (HEIs), this study examined the statistical relationships among transformational leadership, AI readiness, and innovative work behavior (IWB) using partial least squares structural equation modeli...

Automatic and User-Centered Evaluation of an AI-Driven Korean Recipe RAG Chatbot: Alignment, Mismatch, and Actionability

The findings suggest that the two RAGAS metrics do not, on their own, fully explain user-perceived quality when evaluating recipe RAG systems, and that query-type-specific analysis and user-centric evaluation should be considered together.

Development of an Explainable AI-Driven Algorithm for the Analysis and Verification of Voice Recording Authenticity

How Achievement Emotions and Grit Affect Learners' Psychological Well‐Being in AI ‐Based Language Education: A Bifactor Analysis

The presentation of Artificial Intelligence (AI) within educational settings has changed the conventional learning settings to advanced tools that improve the students' academic achievement. Psychological Well‐being (PWB) is a critical element of students' achievement in AI‐based settings. In AI‐based language learni...

From surveillance to intelligence: a scoping review of machine learning for antimicrobial resistance surveillance intelligence across One Health

A One Health AMR Surveillance Intelligence Framework is proposed to organise this shift from data generation toward actionable, adaptive surveillance intelligence, and the evidence demonstrates technical feasibility far more convincingly than operational readiness.

Attribution, zonation, and simulation of spatiotemporal distribution of negative oxygen ions in mountainous megacity: A case study of Chongqing, China

Negative oxygen ions (NOI) are key indicators of urban ecological quality. However, NOI dynamics in mountainous megacities remain poorly understood. A key challenge lies in translating complex environmental observations into interpretable knowledge for environmental planning rather than prediction alone. Therefore, we...

Phase-Aware Interpretable Representations for Cyclical Time Series

Existing local explanation methods for time series models typically construct interpretable representations from contiguous temporal segments. While appropriate for many applications, this assumption maybe unsuitable for cyclical physiological signals, where physiologically equivalent states recur over time. We propose...

Integrated monitoring models for dam health and safety: A review of methods and considerations

Dam safety and health monitoring are critical to ensuring the long-term reliability of water infrastructure, given the complex behavior of dams and the potentially severe consequences of failure. To evaluate current monitoring approaches, this study employs a structured literature review methodology that includes syste...

A Cognitive Task Framework for Evaluating AI-Assisted S&T Planning: Evidence from Tibet’s 2021–2026 Project Classification System

Modeling and measuring graduate students’ generative AI literacy: a study based on Marzano’s taxonomy

Background Generative AI is rapidly reshaping graduate students’ academic research practices. Existing research lacks both literacy models specific to graduate students and a unifying theoretical framework to explain each dimension’s functional role and interrelationships, constraining its cultivation and evaluation. M...

Generative AI for NSF Grant Prewriting: Zero-Shot Protocol Prompting for Tactical Competitive Intelligence

Libraries are increasingly positioned to support faculty grant development, yet proposal-prewriting assistance remains uneven across institutions, particularly where research-development infrastructure is limited. This article presents a practical generative AI workflow for transforming publicly available National Scie...