explainable ai

Using Explainable AI to Identify Spanish SDOH Keywords

Procedural urbanism as infrastructure: a systematic historical analysis of rules, data, and governance

Abstract Procedural modelling has evolved from a niche computer-graphics technique into an increasingly important infrastructure within computational urbanism, geodesign, 3D GIS, heritage reconstruction, scenario-based planning, and urban digital-twin research. Yet these computational and planning-oriented literatures...

Who Is the 'Who'? A Bearer-First Framework for Artificial Consciousness, Welfare, Privacy, and Responsibility

AbstractDebates about artificial consciousness and AI welfare ask whether an artificial system can feel, deserve protection, possess private interests, or bear responsibility. Each question contains a prior pronoun: whose experience, welfare, history, action, and future? For organisms, body, developmental history, and...

FieldMaizeLeaf-8: A Real-Field Early Vegetative Maize Leaf Stress Image Dataset from Bangladesh

FieldMaizeLeaf-8 consists of 3,975 early vegetative maize leaf images collected as a research resource for studies in maize stress classification, computer vision, deep learning, and explainable artificial intelligence. The images were collected from real field conditions in Daudkandi, Cumilla, Bangladesh, and represen...

Epistemic Compression in Artificial Intelligence Mediated Communication: Preserving Reconstructive Structure Under Successive AI Transformation

Artificial intelligence increasingly mediates information through successive transformations involving retrieval, ranking, summarization, synthesis, recommendation, and reuse. These transformations can preserve accurate conclusions while altering the relationships through which those conclusions can be independently ex...

How AI enabled human resource management drives sustainable hybrid performance through AI centric green human resource management in Saudi Arabian private sector firms

This study examines the relationship between AI-enabled human resource management (HRM) and AI-centric Green HRM (GHRM) and how these capabilities influence sustainable hybrid performance, defined as the integration of productivity, adaptability, and environmentally responsible work practices. The study further investi...

Reproducibility of Stunting Determinant Rankings Across Age Cohorts and National Survey Waves

Analysis code for a measurement-validity study of model-derived determinant rankings for childhood stunting, using two harmonized waves of the Indonesia Nutritional Status Survey (SSGI 2022 and SSGI 2024). The code does not develop or validate a deployable prediction model: a gradient-boosted tree is used solely as a m...

XGBoost-SHAP Explainable AI Framework for Process Dispatching in Semiconductor APC Systems

Total dataset

The Observational Incompleteness Framework

The Observational Incompleteness Framework is an AI-based research programme deriving quantum-mechanical structure from the premise that observation is a proper subsystem of a deterministic whole. The archive contains three kinds of content: Technical papers (papers/) — the authoritative technical content, the core pap...

Bibliometric Analysis AI-Based Decision Analytics

The rapid advancement of artificial intelligence (AI) has transformed decision-making processes across various domains by enabling data-driven insights, predictive capabilities, and intelligent automation. This study aims to examine the development, intellectual structure, and emerging trends of research on AI-based de...

Artificial Intelligence and the Right to Equal Education: A Legal Framework for Algorithmic Educational Justice

The rapid adoption of artificial intelligence (AI) in education is reshaping how learners access knowledge, receive instruction, are assessed, and are classified by educational institutions. Although AI can expand personalization, accessibility, and educational efficiency, its deployment may also generate new forms of...

Artificial Intelligence for Medical Imaging Diagnosis: From Accuracy to Clinical Reliability through Multimodal Fusion, Validation, and Regulatory Perspectives

An engineering-oriented deployment framework is proposed, integrating modality-driven model selection, structured preprocessing pipelines, multi-level clinical validation, computational feasibility assessment, and explainability, together with a clinical deployment readiness model spanning validation maturity, data div...