AI ethics on Tuesday, 14 January 2025

Abstract As artificial intelligence (AI) transforms a wide range of sectors and drives innovation, it also introduces different types of risks that should be identified, assessed, and mitigated. Various AI governance frameworks have been released recently by governments, organizations, and companies to mitigate risks associated with AI. However, it can be challenging for AI stakeholders to have a clear picture of the available AI governance frameworks, tools, or models and analyze the most suita

BACKGROUND: Delphi studies are primarily used in the health sciences to find consensus. They inform clinical practice and influence structures, processes, and framework conditions of healthcare. The practical research-how Delphi studies are conducted-has seldom been discussed methodologically or documented systematically. The aim of this scoping review is to fill this research gap and to identify shortcomings in the methodological presentation in the literature. On the basis of the analysis, we

Abstract This article investigates the multifaceted dimensions to understand the interrelatedness among global change drivers and their implications for landslide hazards and disaster risk. Drawing on empirical research, it utilised a mixed-methods design; the research combined diverse data sources and experiential insights on the interdependencies bounded by local context and global scale. The findings underscore the urgent need for holistic approaches that consider the complex dimensions of la

A significant advancement in artificial intelligence is the development of large language models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly in education, by improving language understanding and generation capabilities. This study explores LLMs’ types, history, and training processes, alongside their application in education, including digital and higher education settings. A novel theoretical framework is proposed t