generative ai

Regulatory Gap: Why Model Risk Management Is Structurally Ill-Suited to Govern AI-Driven Code Transformation

Model Risk Management (MRM), set out in the Federal Reserve's SR 11-7 and OCC Bulletin 2011-12, governs quantitative models in banking. AI vendors now offer tools for rewriting production code, including COBOL-to-Java modernization, raising a scope question for the estimation-oriented definition of a model. Through str...

Generative AI chatbots could take over our emotional lives: The potential and challenges of generative AI for health globally

Predicting Teachers' Behavioral Intention to Adopt Generative AI in Teaching: An Integrated TAM-UTAUT Regression Model

The findings indicate that teachers' adoption decisions are jointly driven by instrumental value and institutional provisioning, and that generalized technology anxiety is not, in itself, a barrier among teachers who already have practical exposure to GenAI.

Artificial intelligence in healthcare: Technical advances, clinical integration, and future perspectives

This narrative review examines the evolution of artificial intelligence (AI) in healthcare, with a focus on the transition from early rule-based systems to modern deep learning architectures and their integration into clinical practice. We examine foundational technologies, including convolutional neural networks for i...

The Effects of Self-Learning Generative AI NPCs on Player Game Immersion and Loyalty: The Mediating Role of Game Immersion

With the growing use of generative artificial intelligence in digital games, whether AI-driven non-player characters (NPCs) can improve player experience and further shape continued play intention has become an important question for game design and user research. This study examines whether self-learning generative AI...

Algorithmic Publicity and the Right to a Fair Trial

Building on developments in the UK, EU, US, China and Estonia, it proposes doctrinal and procedural refinements, narrowly targeted platform duties and court-supervised AI monitoring tools to preserve jury trial and open justice while maintaining credible fair-trial guarantees in an algorithmic information environment.

Ethically integrated generative AI for reading and vocabulary development in higher education: an experimental study of efficacy and learner perceptions

The results showed that the use of AI in education, guided by ethical principles, can effectively enhance learning outcomes, as evidenced by a 30% improvement in scores related to learning autonomy.

Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support Physics Problem Solving

Generative AI offers new opportunities for individualized and adaptive learning, e.g., through large language model (LLM)-based feedback systems. While LLMs can produce factually correct feedback for relatively straightforward conceptual tasks, delivering high-quality feedback for tasks that require advanced domain exp...

A Study on the Application and Intervention Model of Generative AI-Based Art Therapy - Focusing on the “Anxin AI” Drawing-Based Psychological Assessment System -

Artificial Intelligence in Adaptive Learning for Education: A Bibliometric Analysis

Insightful insights are provided into publication trends, contributors, research themes, and emerging AI technologies in adaptive learning, which could assist researchers, educators, policymakers, and educational technology developers in improving intelligent adaptive learning systems.

Ethical Issues and Researcher Responsibility in the Use of Generative AI in Beauty Research

This study employed a systematic literature review to examine research trends in artificial intelligence within the field of beauty and cosmetology and to explore the ethical issues associated with the use of generative AI in academic research. A total of 135 studies were analyzed. The findings indicate that AI-related...

An Overview of GenAI 2.0 Partnering With Digital Twin to Enhance Decision Making

Generative AI (GenAI) has moved on to a “2.0” level, where capability comes not only from better generators but from integrating generators with retrieval, tool use, and orchestration. The approach taken in this overview is a systems perspective, where a brief typology of families and of models is codified, along with...