Artificial intelligence is increasingly becoming a governing medium through which institutions classify persons, allocate opportunities, structure work, produce knowledge and mediate public trust. Current AI governance frameworks emphasise risk classification, technical assurance, transparency, accountability and human...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Within the journalism profession, generative AI has undergone significant developments and transformations from 2019 to the present day. It began with an initial phase of technical experimentation, confined to the automation of repetitive tasks such as translation, transcription, and data-driven micro-content. This was...
Martina Tolaro· Zenodo (CERN European Organi...· 0 citations
This repository contains the research materials developed for the manuscript “Are We Practicing What We Preach? A Balanced Sustainability Pyramid Assessment of Business and Management Literature,” submitted to the Schmalenbach Journal of Business Research. It includes the dataset of 759 publications from journals inclu...
Alireza Abdollahi, Marco Frisch, Andreas Barth et al.· Zenodo (CERN European Organi...· 0 citations
This collection contains the core papers of the Semantic Fidelity Project, part of the broader Reality Drift framework. The project examines what happens to meaning as information is retrieved, compressed, summarized, generated, mediated, and recursively reused across artificial intelligence and other representational...
A. Jacobs· Zenodo (CERN European Organi...· 0 citations
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Context: The widespread adoption of Artificial Intelligence (AI) and, more recently, Generative AI (GenAI) systems has intensified privacy and security concerns in organizational settings. Beyond technical vulnerabilities, risks increasingly emerge from socio-technical factors involving user behavior, organizational go...
Anonymous· Zenodo (CERN European Organi...· 0 citations
General-purpose generative AI (GenAI) models are increasingly serving as quasi-social agents, representing a novel form of informal AI-mediated help-seeking. This study examined associations between adult attachment orientations (Experiences in Close Relationships-Relationship Structures questionnaire), psychological d...
Dorit Hadar Shoval, E. Refoua, K. Gigi et al.· Cyberpsychology, Behavior, a...· 1 citation
Generative artificial intelligence (GenAI) can contribute to idea generation, content organisation, language editing, and product revision, making it difficult for teachers to judge students’ knowledge and understanding, cognitive engagement, and independent contribution solely from the final assignment. This study emp...
Hao Yan· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence (GenAI) can contribute to idea generation, content organisation, language editing, and product revision, making it difficult for teachers to judge students’ knowledge and understanding, cognitive engagement, and independent contribution solely from the final assignment. This study emp...
Hao Yan· Zenodo (CERN European Organi...· 0 citations
Background. The rapid global adoption of ChatGPT has raised growing interest in its role in supporting student learning, yet the effectiveness of generative AI tools in enhancing higher-order cognitive skills such as problem-solving may depend on individual learner characteristics that remain underexplored.
Purpose. Th...
Ming Pong, Sokha Dara, Niruba Sarath Jayasundara· Journal of Paddisengeng Tech...· 0 citations
Abstract AI and ML are rapidly changing higher education by redefining teaching, learning, research, evaluation, and institutional governance. India's National Education Policy (NEP) 2020 envisions a transdisciplinary, technology-enabled, learner-centric, and innovation-driven education system that produces globally co...
Lokanath Patra· Zenodo (CERN European Organi...· 0 citations
Abstract The rapid expansion of artificial intelligence (AI) has created an unprecedented demand for computational infrastructure. Behind applications such as generative AI, image generation, machine translation, and automated decision-making are large data centres containing thousands of high-performance processors. W...
Sushant Thakur· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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