explainable ai

Artificial Intelligence Utilization, Auditors’ Technological Competence, and Audit Quality: PLS‑SEM Evidence from Indonesia

Audit firms and internal audit units in Indonesia have begun to use artificial intelligence (AI), but it is not yet clear whether audit quality improves because of the tool or because of the auditor who uses it. We examined the effects of AI utilization and auditors’ technological competence on audit quality. Questionn...

The Future is Neuro-Symbolic

Invited talk at Advances in Cognitive Systems 2026 (ACS 2026), Edinburgh. This talk explores the evolution and current state of neurosymbolic AI, an approach that integrates neural network capabilities with symbolic reasoning. We trace the historical context from early AI aspirations to modern implementations and succe...

Analysis of Sentiment in Tamil Comments Using BERT and Explainable AI

Model-based medical decision making: From system dynamics to object-process methodology

Decision-making in mission-critical domains, including healthcare and finance, requires information structures that are explainable, trustworthy, and semantically coherent. This study examines how hybrid conceptual modeling addresses these needs by transforming a System Dynamics (SD) model into an Object-Process Method...

Process bigraphs and the architecture of compositional systems biology

Building multiscale biological models requires the integration of independently developed submodels, which means moving shared variables between them and coordinating when each submodel runs. Existing tools typically address isolated biological mechanisms with specific numerical methods, rarely specify which variables...

THE EL-RAKHAWI THEORY OF PREDICTIVE CLIMATE JUSTICE AND TRANSNATIONAL CORPORATE ACCOUNTABILITY Re-engineering Legal Liability of Transcontinental Corporations Through Eco-Digital Governance Models

The El-Rakhawi Theory of Predictive Climate Justice and Transnational Corporate Accountability (DOI: 10.5281/zenodo.23271861) presents a groundbreaking interdisciplinary framework transforming climate litigation from reactive post-harm adjudication to preventive predictive accountability. It harnesses AI-powered climat...

THE EL-RAKHAWI THEORY OF GLOBAL ALGORITHMIC CONSTITUTIONALISM Reformulating Criminal and Civil Liability of Self-Learning Systems in Light of Comparative Legal Jurisprudence

The El-Rakhawi Theory of Global Algorithmic Constitutionalism (DOI: 10.5281/zenodo.23271719) presents a groundbreaking comparative legal framework addressing the accountability crisis of self-learning AI systems. It establishes that autonomous systems exercise "functional agency" requiring constitutional-level oversigh...

A Lean-verified proof of the empty-set-free height-five case of Frankl's conjecture

Unrefereed AI-assisted preprint, version 0.4.1, 9 October 2026. Every finite nonempty union-closed family of distinct nonempty finite sets with inclusion height at most five has an element occurring in strictly more than half its members. Height counts members in a strict inclusion chain. This is the empty-set-free hei...

Understanding ChatGPT adoption among medical students: an integrated theoretical model of psychological barriers and individual factors

The growing adoption of generative artificial intelligence (GenAI), particularly ChatGPT, has created new opportunities for medical education by supporting learning, problem-solving, and knowledge acquisition. However, evidence regarding the psychological and individual factors influencing ChatGPT adoption among me...

One spin per correlation volume: a conditional Simon inequality and the cost of reading a ferromagnet

How many spins of a ferromagnet must one observe to learn its magnetization? For the ferromagnetic Ising model in zero field on a finite graph we prove that, for every set U of observed sites and all sites x, y, E[ E[σ_x | σ_U] E[σ_y | σ_U] ] ≤ Σ_{u∈U} ⟨σ_x σ_u⟩⟨σ_u σ_y⟩. This extends Simon's correlation inequality fro...

Antecedents of Adoption Intention for AI-Driven Wearable Technology in Malaysian Healthcare

This study reports the pilot phase of a larger doctoral investigation into the adoption of AI-driven wearable technology in Malaysian healthcare. Guided by an integration of Diffusion of Innovations theory and the Technology Acceptance Model, the pilot tested seven direct effect hypotheses linking compatibility, relati...

Study on the Indicator System of Factors Influencing Trust in Single-Pilot–Generative AI Collaboration