generative ai

Application of AI Technologies for Promoting the Heritage of Outstanding Scientists by Scientific Libraries: on the Example of A. E. Favorsky’ Works

The purpose of this article is to present a new method for preserving and promoting the scientific heritage of chemists: creation of an intelligent system (IS), based on artificial intellect (AI), for processing chemical literature, on the example of publications by Academician A. E. Favorsky. Libraries employ various...

Generative Artificial Intelligence Chatbots for Motivational Interviewing: A Scoping Review From System Design to Intervention Outcomes (Preprint)

BACKGROUND Motivational interviewing (MI) is a collaborative communication approach used to elicit autonomous motivation in health-related behavior change. Generative artificial intelligence (GenAI) provides new opportunities to deliver MI through conversational systems, but evidence on how these systems are designed,...

CADSA: Content-Aware Dynamic Sparse Attention for Lightweight and Energy-Efficient Edge AI with Sub-Quadratic Complexity

CADSA is a content-aware dynamic sparse attention framework that lowers the quadratic complexity of self-attention to sub-quadratic for lightweight edge AI deployment, and fine-tuning strategy with gradient masking decreases the training memory overhead by 60%, allowing for practical on-device fine-tuning.

Using Generative AI in Knowledge Acquisition Within South African Insurance SMEs

Measuring Secondary School Students’ Verification Capability in GenAI-Supported Learning: Development and Application of the α − v − M Framework

Generative Artificial Intelligence (GenAI) provides adolescents with fluent and immediate support, but unverified use may encourage cognitive offloading and passive reliance. This study conceptualizes verification capability as a cognitive defense mechanism through which learners inspect, question, correct, compare,...

Artificial Intelligence in English Language Linguistics and Teaching: Emerging Research Trends

Artificial intelligence (AI) is reshaping English language linguistics and teaching through automated language analysis, generative text production, speech technologies, adaptive feedback, and data-rich classroom inquiry. This chapter examines emerging research trends at the intersection of AI, English linguistics, and...

EVOLUTIONARY ENTERPRISE AI FRAMEWORKS: TRANSITIONING FROM COPILOT ASSISTANCE TO ORCHESTRATED AUTONOMOUS AGENT EXECUTION IN LARGE-SCALE DIGITAL ECOSYSTEMS

While the transition to autonomous orchestration represents a qualitative capability leap for enterprise AI, it demands commensurate investment in governance infrastructure, transparency mechanisms, and organizational readiness, and is identified as six priority future research directions.

Development of an Adaptive AI Physics Tutor Based on a Large Language Model to Improve Scientific Literacy and Remediate High School Students’ Misconceptions

A theoretical framework for an Adaptive AI Physics Tutor, a new-generation Intelligent Tutoring System integrating LLM architecture, Retrieval-Augmented Generation, a Misconception Detector, and a Student Model into one personalized, adaptive learning ecosystem is formulates.

Toward an integrated framework of media dependency: a theoretical review of uses–dependency and new media dependency models

This theoretical review brings together and explores the evolution and real-world applications of three key frameworks in media dependency theory: the classic Uses and Dependency Model, adaptations for Internet use, and the New Media Uses and Dependency Effect Model. Over the past fifty years, scholars have expanded de...

The convergence paradox: a constructivist account of perceived template convergence and originative agency under generative artificial intelligence

Generative artificial intelligence (AI) has raised a widely shared concern that human cognitive and creative output is drifting toward common templates. The terms used to describe this drift, including algorithmic monoculture, outcome homogenization, and the loss of collective diversity, all characterize systems, popul...

From Golem to GLLM

It is argued that the AI alignment problem cannot be reduced to engineering challenges but requires what I term "magical alignment" - a ritual architecture that recognises AI development as participation in cosmotechnical processes demanding ethical preparation, relational responsibility, and planetary awareness.

Exploring the impact of generative AI-facilitated personalized learning on EFL students’ speaking and writing skills