explainable ai

A Review on Human-Centered Machine Learning for Decision Support in High-Stakes Domains

Machine learning is increasingly used to support important decisions in healthcare, public services, finance, and aviation. These systems can help with prediction, risk assessment, resource allocation, and professional decision-making. However, high accuracy does not always mean that a system is safe, fair, easy to und...

TEMIF: A Trustworthy Explainable Multispectral Intelligence Framework for Evidence-Based Spectral Utility Analysis in Sentinel-2 Land Cover Classification

Neuro-Symbolic Generative AI for Explainable Personalized Tutoring

The use of Generative Artificial Intelligence (AI) is showing great promise in the field of education by providing personalized and interactive tutoring. Yet, there are some issues with current Generative AI tutors, including hallucination, lack of transparency, lack of consistency in reasoning, and lack of personaliza...

Works for 9/12/2026 - Douglas C. Englebart

Listen and ask questions on Gemini Notebook: https://notebook.google.com/notebook/bcb0908b-c1b9-43a0-883e-6adb207bdc0a?authuser=1 Light from Light: The Father Gives Reason and the Spirit Makes Reason Accessible develops a recursive framework connecting biological reception, physiological state, cognitive accessibility,...

FROM SKILLS VERIFICATION TO WORKFORCE INTELLIGENCE A RESPONSIBLE AI FRAMEWORK FOR COMPETENCY-BASED WORKFORCE DECISION-MAKING

Artificial intelligence (AI) is increasingly used to support recruitment, skills analysis, learning, performance management and workforce planning. Yet many workforce decisions still depend heavily on static qualifications, curriculum vitae data, self-reported experience and periodic assessments. These sources remain v...

Identifying the Components of AI Algorithm-Based Interactive Industrial Design

This study aimed to identify and explain the components of AI algorithm-based interactive industrial design and to develop a conceptual framework for organizing its contextual conditions, inputs, processes, and outputs. This applied qualitative study was conducted using a meta-synthesis approach. The research corpus in...

Vietnamese University Students’ Perceptions of Generative Artificial Intelligence in Higher Education: A Qualitative Study Through the Technology Acceptance Model

Background: Generative artificial intelligence (GenAI) has diffused rapidly across higher education worldwide, yet empirical evidence from Southeast Asian and Global South contexts remains limited. Vietnamese higher education, characterised by rapid expansion, strong digital-transformation agendas, and examination-orie...

Structured PREreview of "An assessment of normalization and differential expression methods for miRNA-seq analysis using a realistic benchmark dataset"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22737224. Does the introduction explain the objective of the research presented in the preprint? Yes It explains the problem properly, namely the need for reliable method...

Works for 9/12/2026 - Douglas C. Englebart

Listen and ask questions on Gemini Notebook: https://notebook.google.com/notebook/bcb0908b-c1b9-43a0-883e-6adb207bdc0a?authuser=1 Light from Light: The Father Gives Reason and the Spirit Makes Reason Accessible develops a recursive framework connecting biological reception, physiological state, cognitive accessibility,...

Generative AI Makes Creative Output More Homogeneous

A systematic review and meta-analysis of empirical studies on homogenization in human–AI co-creation reveals a small but statistically significant homogenization effect associated with AI use.

PREreview of "The widening evaluation gap in medical large language model research 2023 to 2026"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22734670. What the paper claims This is an evidence map of 11,628 PubMed-indexed records on generative language models in healthcare, January 2023 to June 2026, built to answer one...

Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC

In a large international real-world study of non-small cell lung cancer, a multimodal explainable AI model outperformed established biomarkers for immunotherapy outcome prediction and improved physician decision-making.