Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
A supplier holds a certificate, is proud of it, and attaches it to a customer's compliance questionnaire. The answer comes back in one line: that is not what we asked for. This whitepaper explains why, and what to do instead. ISO/IEC 42001 governs an organisation: how it decides what to build, who is accountable, how risks are assessed. The EU AI Act regulates systems, one at a time. Only one thing produces a presumption of conformity under Article 40, and a certificate is not it. The presumption attaches to conformity with a harmonised standard whose reference has been published in the Official Journal of the European Union, and at the time of writing no such standard has been cited for this Regulation. The paper separates three things that are routinely confused, a European standard, a harmonised standard and a cited standard; maps the overlap with the Regulation article by article; and explains why for high-risk systems in points 2 to 8 of Annex III no notified body is involved at all, so the only external scrutiny of a quality management system is the audit an organisation chooses to buy. Biometrics providers are in the opposite position today, for the same reason. It covers the dates as amended by the Digital Omnibus on AI, Regulation (EU) 2026/1744, a ninety-day plan and a checklist. Twelve pages. Every claim carries its source, and the paper states plainly which of its facts has a shelf life and how to check it. Information, not legal advice.
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
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
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.