Large language models (LLMs) are increasingly being integrated into creative and decision-making processes, raising critical questions about their role in shaping knowledge and understanding. This dissertation examines the emerging phenomenon of LLM-generated synthetic personas (SP) and its implications for design proc...
Helena A. Haxvig· Institutional Research Infor...· 0 citations
This exploratory study describes self-reported generative AI use, perceived effectiveness, and the benefits and concerns articulated by university students, primarily in Indonesia.
Widhia Andhini Nur Athirha, Natasya Amalia Nur Azizah, Calvanny Lambue Rezananda· International Journal for Re...· 0 citations
This work proposes a training-free framework for AI-generated image detection based on perturbation-induced representation coherence, and achieves the highest mean AUROC among the evaluated training-free methods, while remaining competitive with training-based approaches.
Ji Li, Kai Wang· Proceedings of the 2nd ACM W...· 0 citations
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Large language models (LLMs) are increasingly used across scholarly writing, peer review, and editorial workflows, creating new research integrity questions about attribution, accountability, and disclosure. We measured how explicit artificial intelligence (AI) transparency statements are appearing in published medical...
Philip C. Jarrett, Samia Farooqi, Gabriella Quinn et al.· Research Integrity and Peer...· 0 citations
Preregistered audit of how the models behind three generative AI assistants (OpenAI GPT-6 Astra, Google Gemini 3.1 Pro, Anthropic Claude Opus 5.5), accessed through their APIs, recommend cultural itineraries in Greece. One fixed trip request is sent for each of the eight visitor profiles of the ACUX typology (Konstanta...
Markos Konstantakis· Open Science Framework· 0 citations
Generative AI is becoming part of how scientific content is being produced, evaluated and communicated. Large language models (LLMs) can write science news, simulate readers, retrieve evidence, generate scientific hypotheses, write code, and execute research workflows. These capabilities create opportunities for accele...
Analysis accompanying the study Entre apoyo y automatización: uso de inteligencia artificial y rendimiento en PISA 2025. Reproducible country-specific weighted categorical associations with 10 plausible values and 80 BRR-Fay replicate weights. Primary CORE specification covers 32 OECD systems; full covariate specificat...
Pedro Gustavo González Ali· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence (GAI) adoption in higher education raises questions about the relationships among perceived knowledge, confidence, attitudes, and reported teaching practices. A cross-sectional study of 149 faculty members at an Ecuadorian public university examines four self-reported constructs, with...
With the rapid advancement of artificial intelligence (AI), AI-assisted tools are increasingly integrated into language education. However, empirical evidence on their effectiveness for spoken English in higher vocational colleges remains limited. This quasi-experimental study examined whether AI-assisted speaking prac...
Yang Zhang, Ying Zhou· Discover Education· 0 citations
This project “AI4Optics” addresses the challenge of knowledge preservation and utilization in small and mediumsized enterprises (SMEs) within the optical measurement industry. SMEs face the risk of losing valuable domain knowledge as experienced employees retire and industry requirements evolve. The project therefore a...
D. Aumüller, M. Geyer, S. Sommer· IMEKO PHOTOMET EDUMET 2026 M...· 0 citations
This paper presents an end-to-end ontological engineering framework based on the Holistic Semantic SEO and Topical Authority principles formalized by Koray Tuğberk Gübür, adapted specifically for Generative Engine Optimization (GEO) and neural search retrieval in frontier Large Language Models (LLMs). We define the top...
Eduardo Peiró· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
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