explainable ai

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...

O'ZBEKISTONDA KREDIT RISKLARINI BOSHQARISHDA SUN'IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISH MEXANIZMLARINI TAKOMILLASHTIRISH

Mazkur tezis O'zbekiston tijorat banklarida kredit risklarini baholash va boshqarish jarayonini sun'iy intellekt texnologiyalari asosida takomillashtirishga bag'ishlangan. Tadqiqotda kredit portfeli kengayishi sharoitida qarz oluvchining defolt ehtimolini oldindan baholash, an'anaviy skoringni ma'lumotlarga asoslangan...

GreenAI: An Explainable AI and IoT-Enabled Offline Framework for Precision Agriculture

Yes, ChatGPT (and other models) need a psychiatrist: parallels between experimental neuropsychiatry and AI alignment science

AI chatbots (such as ChatGPT or Claude) sometimes state false information with confidence, a behavior popularly termed “hallucination.” In their recent perspective, de Boer et al. [1] compared these errors to confabulation in patients with memory disorders, and asked whether ChatGPT needs a psychiatrist. I argue that 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...

AI Technical Challenges and Their Strategic Implications

This chapter establishes that healthcare AI must not be treated as a solved technology. Persistent technical limitations – generalisability gaps, explainability deficits, and actionability limitations – are structural properties of current ML systems with direct strategic and patient safety consequences. The chapter in...

A deep learning-based plant disease classification using image recognition techniques

Abstract Plant diseases significantly threaten global food security, necessitating accurate and automated diagnostic systems. This work presents a modular deep learning framework for systematic benchmarking and comparative analysis of multiple architectures using the PlantVillage dataset. The framework integrates pretr...

ISO 55001 and AI agents: how far can we hand over control?

Artificial intelligence agents are no longer limited to producing analyses or answering questions. In some industrial facilities, they examine alarms, search for the causes of a failure, prepare interventions, create work orders and can even act directly on the process. This development promises faster decisions, bette...