Oct 2026· Information Communication & Society· 30 references
Information Systems Theories and Implementation
Abstract
By automating the content creation process, Generative AI is reshaping creative work, but its impact on knowledge workers remains underexplored, which this study seeks to examine. Drawing on in-depth interviews with 20 knowledge workers, this study examines what is being transformed in the workplace and how these shifts are being perceived by the knowledge workers who use GenAI. Using Social Shaping of Technology (SST) as a conceptual lens to understand the interaction between technology and knowledge workers, the study finds that participants perceived GenAI as an efficient tool that provides cognitive relief and enhances productivity during times of resource constraint. Tensions also arose around authenticity, creativity, a sense of fulfillment, and the perception of effort. The adoption of GenAI has created downstream labor and demand for new skills as it shifts knowledge workers’ roles away from creator to editor/fact-checker while creating tension as participants balance their desire for efficiency with fears of diminished creativity and domain knowledge, skills atrophy, and threats to content ownership.
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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