explainable ai

Agentic, Autonomous and Explainable AI in Smart Agriculture: A Systematic Literature Review

The evidence reveals an explainability-autonomy divide and substantial field-validation and reproducibility gaps in agentic/autonomous AI and/or XAI in agricultural systems using sensor, robotic or computer-vision data and reporting an evaluation.

Market Analysis

This chapter analyses the growing role of artificial intelligence (AI) in the transformation of contemporary enterprises and analyses the transition from fragmented AI-supported processes towards integrated AI-first organisational models. The chapter combines theoretical discussion with an empirical market analysis con...

From AI-Support to AI-First Enterprises

Artificial intelligence (AI) is becoming an increasingly visible element of business management, influencing not only operational processes but also strategic planning, financial management, leadership, and organisational governance. This book examines these changes from an interdisciplinary perspective, combining mana...

Humanoid and Virtual Leaders as a New Model of Decision-Making in Enterprises

This chapter examines humanoid and virtual AI leaders as a new model of enterprise decision-making, with particular focus on the cases of Mika, the humanoid CEO of Dictador, and Tang Yu, the virtual CEO of NetDragon Websoft. The analysis investigates how artificial intelligence is increasingly integrated into strategic...

TrustEdge-V2X: Deployment-Aware Edge Intelligence for V2X/IoV Intrusion and Misbehavior Detection

A secure edge intelligence framework for V2X/IoV intrusion and misbehavior detection, called TrustEdge-V2X, which is deployment-aware and offers a systematic approach to the assessment and selection of vehicular cybersecurity models based on the operational and deployment conditions.

End-to-end deep learning methods for genetic risk prediction of schizophrenia

It is shown that explainable neural networks improve genetic prediction of schizophrenia by capturing genetic interactions, and nonlinear neural networks significantly outperform conventional additive models when sufficient sample size is available.

Scenario 3: The Platform Marketplace Model

This chapter develops the third scenario, the Platform Marketplace model. This is situated at the intersection of market-led coordination and AI-first integration. In this future, digital platforms unbundle higher education into specialized functions including skill acquisition, credential signaling, socialization, and...

Strategies for Higher Education Institutions

Strategies for Higher Education Institutions: Resilience and Adaptability provides higher education leaders with a structured methodology for strategic decision-making under deep uncertainty. The book constructs four plausible scenarios for higher education to 2035, organized around two critical uncertainties: coordina...

AI myth as a new category of myth

This chapter situates AI myth within the broader landscape of mythological theory by evaluating major theories of myth to determine their alignment and compatibility with AI myth and its implications. Drawing on theories from anthropology, sociology, psychology, theology, and political science, this chapter will argue...

Explainable hybrid consensus feature selection with VIF-Controlled multicollinearity for Voice-Based diabetes prediction

A multimodal cross-modal explainable retrieval-augmented generation framework for hallucination-grounded visual question answering

Recent multimodal large language models (MLLMs) have achieved remarkable performance on visual question answering (VQA) and multimodal reasoning tasks. But one overlooked failure case stubbornly persists: when answers require simultaneous synthesis of evidence from natural images, free-form text, and structured tables,...

Creating Educational Documentation with AI

T his chapter covers the use of all the artificial intelligences (AIs) explained so far (except Brisk Teaching), to demonstrate how teachers can combine them to create any type of educational document, regardless of its application or subject.