Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Artificial intelligence has moved from being a peripheral technological tool to an increasingly consequential component of professional decision-making. The legal system presents a particularly sensitive setting because judicial reasoning depends upon the accurate identification, interpretation and application of authoritative sources. The Supreme Court of India's decision in Pooja Ramesh Singh v. Jammu and Kashmir Bank Ltd. therefore marks an important early intervention in the relationship between artificial intelligence and adjudication. The appeal arose from insolvency proceedings in which the National Company Law Tribunal, Mumbai (NCLT) relied upon several purported judicial precedents which were later found to be non-existent, incorrectly cited, or accompanied by paragraphs that did not appear in the cited judgments. The National Company Law Appellate Tribunal (NCLAT) subsequently affirmed the NCLT's conclusion without detecting the problem. The Supreme Court, on 2 July 2026, set aside both orders and directed a fresh consideration of the insolvency application. More significantly, the Court declared a zero-tolerance approach towards the production, citation or reliance upon AI-generated legal authorities without verification and directed the Bar Council of India to constitute a committee to formulate guiding principles and disciplinary consequences.
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
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026