Artificial Intelligence in Healthcare and Education
Abstract
Artificial intelligence (AI) has become a fixture of the news agenda, yet little comparative research traces its coverage across countries and across the generative turn marked by ChatGPT's release in late 2022. This study analyzes 43,986 articles from leading center-left and center-right newspapers in ten European countries and seven languages from 2015 to mid-2026. The articles were coded by an ensemble of large language models and the resulting classifications were validated against human judgment. Coverage grew, first peaking in the late 2010s and then surging far more dramatically after the release of ChatGPT, reaching more than seven times its earlier average level by the first half of 2026. AI coverage became markedly more negative, as net valence fell from +12.5 in 2022 to -21.7 in the first half of 2026. The decline occurred in all ten countries and among both center-left and center-right newspapers, without a consistent ideological pattern across countries. What made AI newsworthy also changed. Science and research fell from 26 to 12 per cent of coverage, while stories about disputes over copyright, jobs, and chatbot harms became more prominent. In its media career, AI thus shifted from an emerging technology covered largely through capabilities and potential applications toward a technology in use, increasingly covered through its consequences, conflicts, and governance.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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