artificial intelligence

Towards Automation and Elimination of Subjectivity in Industrial Risk Management Based on Artificial Intelligence

Risk management is one of the fundamental components of a company's success, whatever its sector of activity. This paper reviews the work done in the field of risk management, both traditionally and by integrating Artificial Intelligence. It highlights the way in which risk management was solved in the traditional way,...

Augmenting colonoscopy with artificial intelligence and robotic assistance: a human-factors scoping review toward a task-based shared autonomy paradigm

Abstract Colonoscopy is central to colorectal cancer prevention but remains a high-demand psychomotor and cognitive procedure, characterized by operator dependency, variable performance, and substantial physical and mental workload. Increasing evidence links procedural quality and safety to clinician-related factors, i...

Enrichment Mechanism and Exploration Direction of Thick Plus Shallow Shale Oil: A Case Study from the Bongor Basin, Central African Rift

Abstract The Bongor Basin in the Central African Rift System is a typical strongly inverted intracontinental rift that hosts unique "shallow-buried thick shale oil" resources. Previous studies, based only on limited data, underestimated its shale oil potential, and the controlling factors of movable oil and its enrichm...

Charting the rise of artificial intelligence in medical education: a global bibliometric and network analysis, 2000–2026

Artificial intelligence has moved from a peripheral curiosity to a core feature of modern medical education through adaptive learning, simulation-based training, automated assessment, and large language models such as ChatGPT. Publication activity has accelerated rapidly, but the structure of this expanding literature...

Artificial Intelligence as a Functional Organ of Corporations: A Reconstruction of Criminal Liability

The rapid development of Artificial Intelligence (AI) has created new challenges for criminal law, particularly regarding liability for offenses committed through autonomous AI systems. This study examines the legal position of ai within criminal law and develops an appropriate model of criminal liability for AI-relate...

AI in Chemistry Education: A Thematic Narrative Review of Opportunities, Limitations, and Equity Gaps (2020–2026)

Generative artificial intelligence (AI) has prompted rapidly growing body of scholarship on the role in chemistry education since the public release of ChatGPT in the late of 2022. This thematic narrative review synthesizes 40 English-language sources including empirical studies, curriculum reports, and stakeholder sur...

Exploring Digital Therapeutic Alliance (DTA) with Artificial Intelligence (AI): A Systematic Review

GRAVITY: A Problem-State-Driven Adaptive Computational Intelligence Fabric

Overview GRAVITY: A Problem-State-Driven Adaptive Computational Intelligence Fabric proposes a constrained framework for allocating computational intelligence, execution strategies, resources, and verification according to the requirements of each problem instance. Modern AI systems frequently frame computation as a mo...

The Hidden Curriculum of Generative AI: Institutional AI Policies and the Potential for Student Inequality

Generative artificial intelligence (GenAI) is increasingly integrated into higher education, prompting institutions to develop policies governing its use in teaching, learning, and assessment. Although existing discussions have emphasized academic integrity, assessment practices, and technological access, less attentio...

Artificial Intelligence in Prediction and Diagnosis of Fetal Growth Restriction: A Systematic Review

Generative AI-Powered Interdisciplinary Chemistry Practice in Junior High: Exploring Matter Composition and Structure

To address persistent issues in junior high chemistry teaching of Composition and Structure of Substances—including fragmented disciplinary perspectives, highly abstract micro-level concepts, and underdeveloped macro-submicro-symbolic triple representation thinking—this study constructs a four-stage interdisciplinary p...

Authentic assessment in an AI-integrated qualitative research methods course

This single-semester case study examines an AI-integrated undergraduate qualitative research methods course in which students were expected to use AI throughout development of a publishable research manuscript and suggests that authentic assessment can remain viable in AI-integrated undergraduate settings when assessme...