Sep 2026· AI and Ethics· Vol 6· 0 citations· 102 references
Abstract
There is a rising tide of initiatives countering predominant AI practices and narratives. The social and environmental consequences of AI-dedicated data centres; the death, injury and human displacement involving AI-enabled lethal autonomous weapons; and the corrosion of educational institutions via the adoption of generative AI tools are just a few targets of diverse initiatives taking a stance against AI. However, these initiatives are generally siloed; they do not constitute a single movement but a fragmented patchwork. In this paper, I draw on Gramsci’s Prison Notebooks to make the case for unity among those running such initiatives, whom I call “AI subalterns.” Drawing on literature on epistemic injustice, I confront the AI subaltern with “ruling AI authorities”; those from the ruling classes with the ability to speak about AI with authority and thus perpetrate epistemic injustice. I argue that epistemic activism constitutes a key weapon in the AI subaltern’s arsenal, and that recognising how it is wielded by peers may help develop a sense of political consciousness. I show how the resulting unity among AI subalterns meets the criteria Gramsci sets out when describing how subalterns have historically coordinated successful political uprisings.
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