A state that ignores a 95.6% accurate landslide prediction and then invokes force majeure is not applying a legal doctrine it is abusing one. Force majeure and the Act of God defence share a single operative requirement. Machine learning has destroyed that requirement. AUC values for flood and landslide prediction routinely exceed 0.90 rendering catastrophic events institutionally foreseeable before they occur. The EU AI Act (Regulation (EU) 2024/1689) reframes the analysis. Classifying disaster-management systems as high-risk AI raises the standard of care for public authorities and makes force majeure progressively harder to sustain as a complete defence. Explainability is a due-process obligation here, not a technical amenity: communities subject to AI-driven evacuation orders hold a legitimate interest in understanding the basis for those decisions. The concern that strict liability will deter disaster-AI deployment is real and deserves a substantive answer. This chapter proposed a standards of domestic enforcement, pre-deployment sandboxes, safe harbours, and compensation funds.
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
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.