University students in Bangladesh demonstrated moderate knowledge and mixed practices regarding AI-giarism, while their attitudes were generally favorable toward academic integrity, highlighting the need for clear institutional guidance, academic integrity and AI literacy training, and assessment practices that promote...
Nadia Akter, M. Atikuzzaman· AI and Ethics· 1 citation
It is concluded that robust research prioritization should combine LLM’s analytical speed with diverse expert perspectives to ensure equitable and comprehensive agenda setting, and that while a large language model (LLM) can accelerate the generation of candidate research agendas, it cannot substitute for inclusive, co...
E. Agathokleous, Rhett Loban, M. Kitao et al.· Journal of Forest Research· 0 citations
A public health ethics deliberation guide designed to work alongside the host‒agent‒vector‒environment (HAVE) model is proposed, encouraging responses to photorealistic AIVs that are strategically targeted, proportionate, equitable, and ethically grounded.
Kathryn Heley, Linnea Laestadius, Jeffrey K. Hom et al.· American Journal of Public H...· 0 citations
It is proved that Medvedev logic ML, the intermediate logic of finite problems, is Pi-01-complete under computable many-one reductions, and is not recursively enumerable, a fortiori undecidable, and admits no recursively enumerable sound and complete proof calculus.
A Distributional Sociotechnical Audit (DSA) is developed that integrates algorithmic equity, synthetic-data validity, and public-attitude heterogeneity into one empirical pipeline and offers a more defensible basis for transport GenAI governance than categorical approval tiers.
AI adoption among French oncology pharmacists is already extensive but almost entirely unregulated, creating a critical governance gap with direct patient safety implications, and the data reveal a pragmatic, specialty-specific demand for validated use-case libraries, integrated tools, and institutional governance fram...
Unknown authors· Journal of Oncology Pharmacy...· 0 citations
Abstract Introduction Generative AI models are large language models capable of interacting with humans in a man–machine interface. Endowed with extensive training on an expansive corpus of textual data, these GPTs excel across diverse domains, notably in the realms of medicine and healthcare. Generative AIs like ChatG...
Harshal Sunil Jambhulkar, Asmita Sen, D. Asole et al.· Indian Journal of Neurotraum...· 0 citations
As AI systems become capable of producing the essays, code, reports, summaries, plans, and decisions through which institutions usually recognize competence, a familiar question becomes harder to answer: what is learning for? Existing AI ethics rightly emphasizes present failures--bias, opacity, hallucination, labor ex...
The fundamental issues of copyright infringement in AI training data are identified, the negative effects of such infringement on the copyright owner and the digital content value chain are provided, and specific regulations for AI companies, copyright regulators, and governments are provided.
Unknown authors· Lecture Notes in Education P...· 0 citations
This study investigates the automatic classification of real and AI-generated flower images using fine-tuned transfer learning models and shows that Swin Transformer-Tiny achieved the best overall performance, reaching an F1-score of 88.64% and outperforming the other architectures.
Mehtap Ülker· NATURENGS MTU Journal of Eng...· 0 citations
This focused review summarizes recent advances in AMP engineering, biomaterial-assisted delivery, and AI-guided discovery for biofilm-associated infections in the context of antimicrobial resistance.
A. Akkache, Mattéo Védère, S. Hathroubi· Antibiotics· 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.
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.
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