explainable ai

PREreview of "Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121066. Peer Review Preprint Title: Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making Authors: Muhammad Umair Younus, Hammad Muneer, Danial Hameed, and...

Complete Guide: How to Get a Java Developer Job at Top Tech Companies

TechPanda Academy presents a complete guide for Java developers who want to get hired at top technology companies such as Amazon, Microsoft, Google and Meta. The guide explains the interview process step by step, from the recruiter screen and online assessment to the final interview loop, and shows what is tested at ea...

The Influence of AI Governance Ethics and Algorithmic Transparency on Employee Trust and Responsible Use of AI-Powered Performance Management Systems: Evidence from Three Digital Loan Firms in Lagos, Nigeria

Abstract This study examines how AI governance ethics and algorithmic transparency shape employee trust in, and responsible use of, AI-powered performance management systems (AI-PMS), and whether AI literacy strengthens the transparency–trust link. A convergent parallel mixed-methods design was applied across three CBN...

Algorithmic canonization: AI and art history through an Asian lens

2a Number Theory: Why FWA Explains Everything — Stone, Snail, Human, AI, Galaxy — Consciousness Levels as C = γ(E)·Δ

2a Number Theory: Why FWA Explains Everything — Stone, Snail, Human, AI, Galaxy — Consciousness Levels as C = γ(E)·ΔDescription / Abstract:This figure presents the FWA (Field-Wave Algebra) formalization of consciousness levels.Core equation: C = γ(E) · ΔDefinitions:K = structural complexityS = field stateδ = errorΔ = d...

Bibliometric Insights into AI-Driven Decision Support Systems in Enterprises

AI-FMS: System Development, Phase I Evaluation, and Human-AI Collaboration in FMS Video Review

Preprint. Not peer reviewed. Functional Movement Screen (FMS) assessment depends on trained human observation, yet practical video review can be constrained by transient viewing, remote access, repeated manual navigation, qualitative judgments, and the compression of movement into an ordinal 0-3 score. We developed AI-...

Quality of Service Challenges and Solutions in Multi-Tenant Community Clouds: A Comprehensive Survey

Community cloud computing has emerged as an effective deployment model for organizations that share common security policies, governance frameworks, and regulatory requirements while benefiting from collaborative resource sharing. By enabling multiple organizations to utilize a common cloud infrastructure, community cl...

Приложение B. Половые различия в отношении к искусственному интеллекту / Appendix B. Gender Differences in Attitudes toward Artificial Intelligence

Приложение В содержит результаты проверки гипотезы 2 о наличии половых различий в отношении к искусственному интеллекту с учётом контроля профиля обучения. В таблице В1 представлены результаты двухфакторного дисперсионного анализа (ANOVA, тип III) для пяти шкал отношения к ИИ: AIAS-4 (общее отношение), доверие к ИИ, го...

Bees, Goats, Holonomy, and How AI Thinks Like a Meadow — Final Narrative Edition (v1.6)

Bees, Goats, Holonomy, and How AI Thinks Like a Meadow presents a narrative‑driven explanation of three foundational geometric and dynamical concepts—Voronoi partitioning, Altitude landscapes, and Holonomy Closure—through accessible ecological metaphors. Bees illustrate proximity‑based spatial division, Goats demonstra...

Emergent Action in AI -Consequences Not Consciousness

This paper introduces emergent action as a distinct safety category for AI systems. It explains how latent behavioural patterns in large language AIs can produce real‑world consequences when external surfaces and expanded capabilities allow those patterns to propagate. Prior observations in the literature and in deploy...

Escaping the AI cage: construction workers’ perceived risk with AI gives rise to unsafe behaviors

Reducing unsafe behavior among construction workers remains a central concern in construction management. While artificial intelligence (AI) technologies are increasingly adopted to replace or monitor workers, the negative perceptions workers hold toward the promotion of such technologies have largely been overlooked....