Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Programme index — ปัญญาประดิษฐ์กับความรู้. A navigation aid listing 15 works by the author in this programme area (a work may appear in several programme indexes). Inclusion is a readout of the author's own classification (assisted by the glosa toolchain, github.com/morrocwi/glosa), not an evaluation; each record keeps its own status and disclaimers. Anchor works: 10.5281/zenodo.22301202, 10.5281/zenodo.22163849, 10.5281/zenodo.19215748. The Readout Condition: Distinguishability, Access, and Epistemic Warrant (2026-08-31) — 10.5281/zenodo.22301318 Written by AI. Still True. Knower Fetishism, Epistemic Pedigree, and the Human Face as a Bad Theory of Truth (2026-08-31) — 10.5281/zenodo.22301202 The Standalone Scholar: A Dual-Track Architecture for AI-Native Scholarship (2026-08-29) — 10.5281/zenodo.22163849 Experience Is the Human LoRA: A Readout–Retention Theory of Selective Model Change (2026-07-18) — 10.5281/zenodo.21425420 When AI Expands Human Potential: Reflective Dissonance, Epistemic Agency, and Constraint (2026-03-25) — 10.5281/zenodo.19215748 The Architecture of Mediated Agency: Beyond the Misframing of Free Will and Truth (2026-03-23) — 10.5281/zenodo.19176260 The Civilization of Knowledge: Who Has the Authority to Interpret the World (2026-03-10) — 10.5281/zenodo.18943971 Knowledge as Stabilized Translation: Toward an Observer-Constrained Epistemology (2026-03-09) — 10.5281/zenodo.18925129 Learning Under Generative Abundance: A Structural Law of Epistemic Stabilization (2026-02-20) — 10.5281/zenodo.18711408 AI, Translation, and Access to Event-Specific Contex (2026-02-07) — 10.5281/zenodo.18517054 A Causal–Spectral Planning Specification for AI-Coached Endurance Training Admissible Load–Recovery Design with No-Go Constraints and Environment Derating (2026-01-28) — 10.5281/zenodo.18404721 Causal Memory Graph Framework An AI-Implementable Specification for Boundary-Aware Structural Graph Analysis (2026-01-26) — 10.5281/zenodo.18372525 Causal Guardrails for Artificial Intelligence (2026-01-07) — 10.5281/zenodo.18176092 SANA: A Family–Field Lagrangian and Crisis-Safe AI Runtime (2025-12-05) — 10.5281/zenodo.17825408 The Language Bridge: Expanding Human Potential in the Age of AI (2025-10-06) — 10.5281/zenodo.17280546
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
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 16, 2026