Sep 2026· Frontiers in Human Dynamics· Vol 8· 35 references
Abstract
Quantum technologies are advancing faster than the institutional capacities of most small island jurisdictions, creating a structural vulnerability that remains largely unaddressed. This article introduces the Quantum Sovereignty Gap (QSG) to explain why Puerto Rico (PR) and the Dominican Republic (DR) risk entering the quantum era without the infrastructural, regulatory, or strategic foundations required for autonomy. Using documentary analysis, a 0–2 scoring matrix, and a qualitative evidence audit trail, the study evaluates the extent to which both jurisdictions exhibit quantum-ready intent. The findings reveal stark asymmetries: PR remains structurally dependent due to long-standing constraints in technological autonomy, externally oriented R&D incentives, and reliance on U.S.-based FedRAMP cloud infrastructures, while the DR shows emerging infrastructural autonomy through its Sovereign Artificial Intelligence (AI) initiative and NVIDIA Memorandum of Understanding but faces significant implementation friction. Both territories lack a Post-Quantum Cryptography (PQC) transition roadmap, exposing them to high systemic risk ahead of Quantum Decryption Day (“QDay”). The article reframes quantum preparedness as a question of structural power and identifies a potential regional opportunity through a PR–DR quantum corridor.
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
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
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