Generative AI in Action: Trends, Applications, and Implications
A special issue of Computation (ISSN 2079-3197).
Deadline for manuscript submissions: 15 June 2025 | Viewed by 1157
Special Issue Editors
Interests: agent-based modeling
Interests: artificial intelligence; machine learning; security; QoS; Internet of Things; computer networks security; cybersecurity; blockchain; computer networks; computer security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As generative AI (GenAI) rapidly advances, it continues to unlock unprecedented opportunities for innovation across numerous fields. This Special Issue on "Generative AI in Action: Trends, Applications, and Implications" seeks to explore the most promising developments and applications of GenAI. GenAI’s potential to generate complex data, automate content creation, and enhance machine learning workflows is transforming industries such as healthcare, finance, legal services, and entertainment. The significance of this research area cannot be overstated, as it bridges traditional machine learning techniques with emerging models that enable novel capabilities and experiences.
We are pleased to invite you to submit your research to this Special Issue, which aligns closely with the journal’s mission of advancing the interdisciplinary applications of AI and expanding the understanding of its practical impacts. This Special Issue aims to capture GenAI’s role in reshaping workflows, improving user experience, and addressing both technological and operational challenges in a way that directly contributes to the journal’s focus. In this Special Issue, we welcome original research articles and review papers that address GenAI’s applications and implications across various fields.
We look forward to receiving your contributions and to collaborating towards advancing the understanding of GenAI’s applications and impacts. This Special Issue aims to offer a platform for high-quality impactful research that addresses current challenges and future opportunities within this dynamic area.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Emerging trends in generative AI.
- Applications of GenAI in industry-specific contexts (all industries are welcome).
- Use of GenAI in machine learning workflows.
- Challenges in the applications and uses of GenAI.
- Security issues in GenAI application.
- Ethical and responsible use of GenAI.
- Future directions and emerging opportunities.
Dr. Xin Gu
Dr. Fariza Sabrina
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- generative AI
- machine learning
- natural language processing
- large language models
- data engineering
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