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explainable ai

2,752 papers

#artificial intelligence Open access Aug 2026

Does ChatGPT Undermine Human Epistemic Authority? A Multi-Dimensional Analysis of Artificial Intelligence's Challenge to Knowledge Systems

The emergence of ChatGPT and similar large language models has precipitated fundamental questions about the nature and distribution of epistemic authority in contemporary knowledge systems. This comprehensive analysis examines whether ChatGPT undermines human epistemic authority through a multi-dimensional theoretical...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Jul 2026

Human Agency Under Algorithmic Governance: A Humanities Framework for Law, Management and Public Life

Artificial intelligence is increasingly becoming a governing medium through which institutions classify persons, allocate opportunities, structure work, produce knowledge and mediate public trust. Current AI governance frameworks emphasise risk classification, technical assurance, transparency, accountability and human...

Kwan Hong TAN · 0 citations
#explainable ai Book Sep 2026

The Green J-Curve: Operational Sustainability, Digitalisation and Financial Valuation in India's Logistics Sector

The logistics sector in India is in the middle of a dramatic change as India progresses to its vision of a US 26 trillion economy by 2048. The sector, known for its high costs, is fragmented in terms of supply chains, with a significant environmental footprint, and growing pressure to meet global ESG commitments and In...

Kedarnath Nayak, Ashutosh Parhi, Kalee Prasanna Pattanayak et al. · 0 citations
#explainable ai Open access Sep 2026

Segmentation-free hybrid CNN–transformer CAD framework with handcrafted feature fusion for explainable Leukaemia diagnosis

Diagnosing leukaemia from microscopic blood smear images is nevertheless challenging for traditional Computer-Aided Diagnosis (CAD) systems. Many current methods depend on segmentation and basic feature representations. This makes it hard to tell apart morphologically similar subtypes. This work presents an extended hy...

Yogita Nikhare, Sagarkumar Badhiye · 0 citations
#explainable ai Open access Sep 2026

Negotiating AI integration in higher education curricula: Coping behaviour or career opportunity?

This study examines how higher education educators perceive artificial intelligence (AI) as both a coping resource and a catalyst for career development. Grounded in the Stimulus-Organism-Response (S-O-R) framework and integrating Social Cognitive Career Theory (SCCT) with Lazarus and Folkman's Stress Theory (L&FST), t...

Sandeep Kumar Dey, Haywantee Ramkissoon, Shuvam Chatterjee et al. · 0 citations
#explainable ai Dataset Open access Sep 2026

A Thermal Imaging Dataset for Fruit Bruise Detection and Classification

This dataset contains thermal images of fruits for automated bruise detection and classification tasks using deep learning methods. The dataset includes two fruit types: apple and tomato, each categorized into bruised and healthy classes. The dataset is organized into a hierarchical folder structure as follows: - apple...

HIDIR SELCUK NOGAY · 0 citations
#explainable ai Dataset Open access Sep 2026

JU-TBv1: A Large-scale Benchmark Chest X-Ray Dataset for Tuberculosis Detection

JU-TB is a large-scale, single-modality chest X-ray (CXR) dataset curated for binary tuberculosis (TB) detection, designed to support robust benchmarking of deep learning models. The dataset contains 55,336 high-quality CXR images categorized into TB-positive and Normal classes, making it one of the largest publicly av...

Debgandhar Ghosh, Pawan Kumar Singh · 0 citations
#explainable ai Open access Sep 2026

Explainable AI Framework for Optimizing Urban Waste Management Toward Sustainable Smart Cities

Rapid urbanization and increasing waste generation have created significant challenges for urban waste management, particularly in improving collection efficiency, waste classification, recycling, and environmental monitoring. Al though Artificial Intelligence (AI) offers promising solutions, the lack of transparency i...

Dwi Apriliasari, Qurotul Aini, Nesti Anggraini Santoso et al. · 0 citations
#explainable ai Book Open access Sep 2026

Code and Processed Data for A Fairness-Aware and Explainable Machine Learning Framework for Predicting 30-Day Hospital Readmission in Patients with Diabetes

This Jupyter Notebook presents a comprehensive pipeline for predicting hospital readmissions in diabetic patients using the "Diabetes 130-US hospitals" dataset. The study focuses on the dual challenge of model performance and ethical AI. Key features of this notebook: Preprocessing: Handling of missing data and categor...

Paola Sanchez Sanchez, José Rafael García-González, Alejandro Corrales-Barrera · 0 citations
#explainable ai Open access Sep 2026

Replication package: When a Deed Is Not a Market Sale: Foreclosure Transfers, Statutory Consideration, and Repeat-Sales House-Price Measurement

Replication package and working paper for When a Deed Is Not a Market Sale: Foreclosure Transfers, Statutory Consideration, and Repeat-Sales House-Price Measurement, by Pablo Loschi (independent researcher, Berlin). When a lender takes title through a referee's foreclosure deed, a deed in lieu or a transfer between len...

Pablo Loschi · 0 citations
#explainable ai Open access Sep 2026

Uncovering the drivers of IPO underpricing in Malaysia through machine learning benchmarking

It can be concluded that precise targeting policies can be achieved by measuring interaction effects and that regulatory bodies will consider book-building processes for large IPOs when there is a signal of demand.

Ali Albada, Rabie A. Ramadan, E. Abusham et al. · 0 citations

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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