Artificial intelligence (AI) is now part of everyday academic work in higher education, including feedback. However, AI feedback does not automatically lead to learning. It can help students rethink a concept, improve a draft, and notice gaps in their work, but it can also create a false sense of progress when students...
Patrícia Fidalgo, Reem Hashem· Frontiers in Education· 0 citations
Integrating artificial intelligence (AI) techniques into groundwater quality assessments is a pivotal step toward achieving water resource sustainability and ensuring its safety for human consumption. This is achieved by leveraging the advanced analytical capabilities of these technologies. Parameters such as pH, total...
vanbastin nawzad, Mohammed Hazim Al-Mashhadany, Najlaa Qaseem· Science Journal of Universit...· 0 citations
Abstract The integration of artificial intelligence (AI) in healthcare poses significant challenges for evaluation due to algorithmic complexity and evolving performance. Existing evidence generation guidelines, primarily designed for static medical technologies, may inadequately address the unique characteristics of g...
Robin van Kessel, Jelena Schmidt, Stephanie Winitsky et al.· npj Digital Medicine· 0 citations
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It is argued that the adoption of AI is not a simple technical adjustment but a process through which professional value and the dynamic of creative work are reconsidered and re-constituted, suggesting the need to redesign creative workflows and refresh professional skill sets to maintain meaningful human control while...
Jie Huang, Graham Hitchen, Safak Dogan· Convergence. The Internation...· 0 citations
Annotatsiya. Ushbu maqolada oliy ta’lim muassasalarida tahsil olayotgantalabalarning ingliz tilida og‘zaki nutq (Speaking) ko‘nikmalarini rivojlantirishdazamonaviy raqamli platformalardan foydalanish imkoniyatlari tahlil qilinadi.Xususan, Cambly, HelloTalk, Speak va ELSA Speak kabi platformalarningtalabalarning og‘zaki...
The increasing complexity of state-of-the-art machine learning models has made their behavior progressively harder to interpret, spurring rapid advancements in the field of eXplainable Artificial Intelligence (XAI). Among many methods proposed, perturbation-based approaches play a major role. By systematically altering...
Josef Lindl, Mariana Chaves, Damien Garreau· Lecture notes in computer sc...· 0 citations
Large Language Models (LLMs) are increasingly integrated into software systems used in healthcare, public administration, and customer service. Decisions about data collection, use, and retention can introduce privacy and security risks, reinforce biases, and affect people who interact with or are subject to these syst...
Anonymous Anonymous· Zenodo (CERN European Organi...· 0 citations
Floods frequently impact regions around the world. Rapid and accurate flood detection is crucial for emergency response and timely mitigation of human and economic loss. The expanding availability of satellite data and advances in artificial intelligence have enhanced monitoring of environmental hazards, but many flood...
Sophia Li, Max Zhao, Raghu G. Raj et al.· SPIE Applications of Machine...· 0 citations
This note examines the Pennsylvania Supreme Court’s decision in Salsberg v. Mann and its recognition of a cause of action for tortious interference with an at-will employment relationship by a third party. The author argues that extending tortious interference claims to at-will employees appropriately balances employer...
Human achievement, whether in culture, science, or technology, is unparalleled in the known existence. This achievement is tied to the enormous communities of knowledge, made possible by language. We trace how the principle ‘᾿Eν ἀρχῇ ἦν ὁ λόγος’ (in the beginning was the word) was extended beyond its theological origin...
Emmanuel M. Pothos, Dominic Widdows· Journal of Intelligence· 0 citations