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explainable ai

2,878 papers

#explainable ai Open access Sep 2026

Axiomatic Foundation for Explainable AI – Causal Inference as a Requirement

Current approaches to explainable AI (XAI) frequently fall short of providing genuinely understandable and trustworthy explanations. These methods often rely on post-hoc interpretations of black-box models, which can be misleading due to their failure to capture the underlying causal mechanisms driving predictions. Thi...

Jincheng Zhang · 0 citations
#explainable ai Review Open access Sep 2026

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.

Florin Militaru, C. Popescu, Ramona Ciolac et al. · 0 citations
#explainable ai Book Sep 2026

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...

Ida Skubis, Judyta Kabus, Jolanta Wodarska et al. · 0 citations
#explainable ai Book Sep 2026

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...

Ida Skubis, Judyta Kabus, Jolanta Wodarska et al. · 0 citations
#explainable ai Book Sep 2026

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...

Ida Skubis, Judyta Kabus, Jolanta Wodarska et al. · 0 citations
#explainable ai Open access Sep 2026

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.

H. Sakr, Mina Shenouda, N. Sarwar et al. · 0 citations
#explainable ai Open access Sep 2026

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.

N. Verplaetse, Y. Moreau, D. Raimondi · 0 citations
#explainable ai Book Sep 2026

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...

Bassil A. Yaghi · 0 citations
#explainable ai Book Sep 2026

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...

Bassil A. Yaghi · 0 citations
#explainable ai Book Sep 2026

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...

Remington Tonar · 0 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

Microsoft Research Blog Nov 3, 2026

Learn the rules: The hacker mindset

Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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