Sep 2026· Applied and Computational Engineering· 0 citations
Abstract
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 artificial intelligence is changing the creative process and the human-computer relationship. This scoping review examined the prospects, problems and future directions of generative AI in short-video creation. According to the PRISMA-ScR guidelines, four databases (ACM Digital Library, IEEE Xplore, Scopus, Google Scholar and Web of Science) were used to systematically identify 13 studies published between 2020 and 2026. Based on the above analysis, generative AI is now used in short-video creation to achieve a joint effort between people and artificial intelligence for generation, selection, verification and modification. Generative AI has improved the efficiency of creation and expanded the scope of creative exploration, but new responsibilities have arisen to assess the authenticity of generated works and establish regulations for them. The current evidence mainly consists of the creator's use experience and specific application scenarios; therefore, more long-term studies, experiments and cross-platform research need to be conducted in the future to better understand the long-term effects of generative artificial intelligence on creative practice.
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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