Sep 2026· Journal of Eastern African Studies· pp. 1-21
Abstract
This article explores the opportunities and challenges of knowledge exchange in East Africa around the societal implications of generative AI. These technologies’ capacity to work with and in certain African indigenous languages is increasing rapidly and generative AI is quickly becoming part of the region’s digital platform landscape – albeit in an unpredictable and experimental fashion. Drawing from the authors’ practice-based research in Somalia and their work on Somali-language educational and public engagement resources regarding generative AI, the article argues that translation is a crucial but ambiguous space through which critical debate and resistance to dominant tech narratives can be enabled. This is because of the centrality of language to the (in)accessibility of debates about AI, as well as the emerging impacts of AI on language and translation practices themselves. Building on previous work on the power and problematic aspects of predictive text algorithms that function in East African languages, the article emphasises the importance of evaluating the implications of rapid global AI developments from Eastern African vantage points, foregrounding historical inequalities around language and ongoing (data) extractivism.
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
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