Aug 2026· European Conference on Knowledge Management· Vol 27, pp. 438-447· 0 citations· 18 references
TL;DR
The aim of this study is to explore the current state of 'AI vs AI' by generating a dataset comprising texts, images, audio and video, utilizing a set of freely available AI tools, based on a two-stage strategy.
Abstract
The rapid evolution of Generative AI (GenAI) has transformed the ways in which knowledge is created, shared, interpreted, and applied in organization and educational contexts. While earlier studies have often focused on the technical capabilities of GenAI or on the detection of synthetic content, less attention has been given to how these tools influence knowledge management processes at the individual and group levels. This study addresses that gap by examining how GenAI affects the production, transfer, validation, and use of knowledge among individuals and within collaborative settings. The aim of this study is to explore the current state of 'AI vs AI' by generating a dataset comprising texts, images, audio and video, utilizing a set of freely available AI tools. This pilot illustrative study was based on a two-stage strategy: in the first stage synthetic media was generated with different GenAI tools to mimic human creativity. A second stage, which involved a rigorous evaluation of AI-detection tools for each modality separately. Texts were created in three different GenAI tools and Images were prompted to mimic Renaissance paintings by Michelangelo and Raphael. Audio was generated with the purpose of mimicking interviews with the Renaissance painters. Videos, finally, were created to be deceptive deepfakes, placing persons in environments and situations where they never have been in real life. Findings provide a comparative analysis of tools' accuracy and false-positive rates that could act as valuable guidelines in the increasing flood of AI-generated content. This research contributes to the growing discussion on how organizations and institutions can manage the opportunities and risks associated with GenAI in knowledge-intensive environment. The study highlights the need for critical AI literacy, transparent knowledge practices, and governance mechanisms that ensure the responsible integration of GenAI into individual and collaborative knowledge work.
The paper compares the three different conceptual approaches adopted by scholars in dealing with the topic in question, highlighting how they assume different notions of the role of GenAI in the knowledge creation process and the types of knowledge involved.
E. Scarso, K. Kirchner· European Conference on Knowl...· 0 citations
The paper concludes that the future of KMS lies not in more sophisticated repositories, but in intelligent systems capable of dynamic codification, contextual reasoning, and continuous organisational learning, redefining the balance between human and machine agency in organisational knowledge processes.
A. Antonova, Dilyan Georgiev, Anikó Csepregi· European Conference on Knowl...· 0 citations
It is concluded that GenAI, when implemented with clear guardrails and institutional integrity, has the potential to elevate advancement from an operational function to a strategic, mission-aligned partner in shaping the future of higher education.
Liz Hawkins· Journal of Education Advance...· 0 citations
The research re-specifies dual-factor dynamics for GenAI-mediated knowledge work, demonstrating that enablers and inhibitors operate as independent epistemic forces rather than as opposing poles and extends KM scholarship on knowledge risk by identifying a class of AI-specific risks that conventional governance instrum...
Wen-Dai Yang, Sarthak Singh, S. Alshibani et al.· Journal of Knowledge Managem...· 0 citations
Generative AI is changing how short videos are created and is affecting the production, editing and collaboration of content. Existing research is scattered across various fields, such as technology application, creator practice and governance issues, and thus has not achieved all-round coverage of how generative artif...
Fang Yu· Applied and Computational En...· 0 citations