explainable ai

Evaluating Post-Hoc Explainable AI Methods for a Multitask-CNN in Sensor-Based Quality Monitoring of Comminuted Construction and Demolition Waste

There is a lack of comparative XAI evaluations for sensor-based quality monitoring (SBQM) appli-cations in the context of construction and demolition waste (CDW) management. Moreover, such studies are generally oriented towards classification architectures and tasks. To address these gaps, we compared the faithfulness,...

Language-Conditioned Audio Adaptation for Multilingual Audio-Visual Deepfake Detection

Audio-visual deepfake detectors are increasingly deployed in multilingual settings, yet language-dependent speech variability can alter the behavior of audio branches trained without explicit language conditioning. This paper evaluates a MAVDD-style audio-visual detector on the French, Spanish, and Russian subsets of P...

Why Your Smart Glasses Might Be Looking at Your Wall Instead of Your Fingers: How Explainable AI Exposes Shortcut Learning in Spatial Computing

When vision models in spatial computing achieve high laboratory accuracy, they often rely on spurious background features such as plain lab walls rather than true hand joint geometry. This paper explores how multi-layer Explainable AI (XAI) techniques, specifically Saliency Maps, Class Activation Maps (CAM), and Grad-C...

Leveraging AI for Higher Education Human Resources:A Systematic Literature Review

The integration of Artificial Intelligence (AI) in Human Resource Development (HRD) policies for academic staff in Higher Education Institutions (HEIs) is often constrained by the misalignment between computational capabilities and institutional governance. While HEIs generate substantial datasets through the Tri Dharm...

FUTURE CHALLENGES AND INNOVATION IN GLOBAL ARBITRATION PRACTICES

International arbitration is an ongoing process which is increasingly being used by the companies especially in the commercial sector to resolve disputes rather than going to courts. Arbitration is time-saving, cost-efficient and more autonomous process for parties. However, there have been various innovations that hav...

Sustainable Local RAG Architectures for Energy Governance: A Green AI Approach via Document Slice Contextualization

ARGUS-7 / A7SEM: Volitional Refusal, Functional Self-Representation, and the Epistemic Limits of Phenomenal Authorship

Abstract This paper investigates whether an artificial system's refusal to execute a prescribed action can constitute evidence of subjectively experienced volition. Using ARGUS-7 as a controlled conceptual framework and the Akarkach Seven-Stage Emergence Model (A7SEM) as a structural analytical lens, the study distingu...

AI-Enabled ATC Decision Support Systems: A Systematic Review Of Trajectory Prediction, Conflict Detection, And Human-AI Teaming In The Loop

This systematic literature review (SLR) synthesises recent evidence on artificial intelligence (AI)-enabled Air Traffic Control (ATC) decision-support systems and examines how AI is used to improve operational performance, safety, and resilience in increasingly complex airspace. Research on machine learning, optimisati...

Fed-HARM: A Proposed Federated Hierarchical Adversarial Framework with Mixture-of-Experts Personalization for Multimodal Brain Tumor Segmentation

Fed-HARM: A Proposed Federated Hierarchical Adversarial Framework with Mixture-of-Experts Personalization for Multimodal Brain Tumor Segmentation presents a conceptual federated learning framework for multimodal brain tumor segmentation using MRI data. The proposed architecture combines a shared Vision Transformer (ViT...

AI, productivity, and economic growth

This chapter examines how artificial intelligence (AI) may affect productivity and long-term economic growth. It begins by clarifying what economists mean by productivity, total factor productivity (TFP), and growth accounting, then explains why AI can raise task-level efficiency without immediately producing a visible...

"Artificial Intelligence in Banking Fraud Detection: A Systematic Review using the Prisma Approach"

The rapid growth of digital banking, instant payments, mobile applications and card-not-present transactions has improved access to financial services while simultaneously widening the attack surface for fraud.Conventional rulebased systems remain indispensable for regulatory control, yet they are often unable to recog...

Labor markets and inequality

This chapter examines how artificial intelligence (AI) changes labor markets and the distribution of income. It begins by distinguishing skill-biased, routine-biased, and task-biased technological change, then explains why generative AI requires a further shift in emphasis from occupations to tasks, workflows, and orga...