explainable ai

Generative AI in UK higher education: Exploring its impact on student motivation, self-efficacy, and happiness to inform assessment design

This mixed-methods study (N=201 UK undergraduates) identified a “well-being paradox” in AI-mediated learning. Contrary to expected outcomes, it found that greater reliance on generative AI tools for academic purposes was associated with higher academic well-being, especially positive emotion (β≈+0.33) and accomplishmen...

How AI could help predict and explain water levels in the Great Lakes

A comprehensive review of AI-driven water-quality monitoring and prediction: advances, challenges, and future directions

Water quality has emerged as a critical global concern that requires advanced monitoring and management strategies. Traditional water-quality assessment methods predominantly rely on laboratory-oriented analysis that are time consuming, expensive, and are often labor-intensive. This study presents a thorough overview o...

The Fourth Blow

The chapter examines the effects of digitalization and artificial intelligence (AI) on human experience, understanding and healing. It compares the associated developments with the three major historical blows to humanity caused by scientific discoveries: the Copernican revolution, Darwin&s;s theory of evolution, and F...

Impact of AI-Based Fraud Prevention on Customer Trust in Digital Payment Systems: An Empirical Investigation of Continuance Intention among Indian Users

Abstract The rapid expansion of digital payment ecosystems in India, anchored by the Unified Payments Interface (UPI), has been accompanied by a sharp rise in payment fraud, eroding consumer confidence and threatening long-term adoption. Artificial intelligence (AI)-driven fraud prevention mechanisms—real-time anomaly...

PREreview of "What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23180288. ## Summary Benchmark scores shape which models get funded, bought, and regulated — yet whether benchmarks measure what they claim to measure is rarely tested. This paper i...

Can We Teach AI to See the World the Way Animals Do?

Tweet For decades, ecology has been very good at explaining the past. We can look at a collapsed fishery, a vanished pollinator population, or a coral reef bleaching event and piece together, after the fact, what went wrong. What ecology has struggled to do, and what it needs to get better at, is predicting these chang...

Consumption value in GenAI travel photography: a mixed-methods study from an affordance–constraint perspective

Purpose This study develops an affordance–constraint–value framework to explain how GenAI travel photography shapes consumption value and behavioral intentions. It aims to examine how perceived affordances and constraints relate to functional, emotional and social value, and how these value dimensions influence continu...

What a Crossref record shows when a paper is retracted: one month of retraction deposits (v3)

# What a Crossref record shows when a paper is retracted **A field-level audit of one month of retraction deposits (v3)** Author: Trafalgar Law (independent). Data pulled from the public Crossref REST API on 2026-09-23. Sample and reproduction query included. This is a metadata audit, not an accusation against any publ...

Explainable artificial intelligence for secure and privacy-preserving 5 G networks

Explainable artificial intelligence (XAI) is increasingly relevant to the security, privacy, and governance of AI-enabled 5 G and emerging 6 G networks. However, existing studies remain fragmented across wireless tasks, data modalities, network planes, and evaluation criteria, making it difficult to determine when an e...

Artificial intelligence adoption and green collaborative innovation: knowledge-based channels and governance conditions

Purpose This study aims to examine whether and how firm-level artificial intelligence (AI) adoption promotes green collaborative innovation. It focuses on two knowledge-based capability channels, namely, knowledge learning capability and green governance capability, and investigates the organizational and institutional...

Agency SEO Reseller Fulfillment Planning Guide

This educational guide explains how agencies and web designers can evaluate an outsourced SEO fulfillment model before introducing it to clients. It covers discovery, scope definition, communication ownership, branding choices, reporting, traditional and AI search visibility, quality controls, and client handoff practi...