Generative AI Transformations in Industrial and Societal Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 85
Special Issue Editors
Interests: generative AI; large language models; Internet of Things
Special Issue Information
Dear Colleagues,
Recent advancements in artificial intelligence (AI) have opened exciting avenues for research. Generative AI (GenAI) is among the fields of AI that is growing in importance. With modern computing power, GenAI has shown a remarkable ability to augment human creativity and efficiency. Various critical domains, such as healthcare, finance, manufacturing and education, are seeing ground-breaking developments with the use of GenAI. Furthermore, GenAI’s ability to generate solutions to problems unsolvable or unimaginable a few years ago presents incredible possibilities for future industrial advancements. This Special Issue will explore the diverse applications of generative AI, with a focus on both practical and theoretical innovations across multiple sectors.
Potential topics of interest include, but are not limited to, the following:
- Enhancing game development and storytelling through generative models;
- Intellectual property and copyright challenges in AI-generated content;
- Generative AI applications in the healthcare and biomedical sectors;
- AI-driven design and prototyping in engineering and manufacturing;
- Autonomous systems for industrial problem-solving and innovation;
- Impact of generative AI on academic research and collaborative learning;
- Generative AI for risk management and fraud detection in financial applications;
- Identifying and mitigating bias in generative AI outputs;
- Ethical considerations in deploying AI-generated solutions;
- Societal impacts of aggressive use of generative AI for human replacement in industry;
- Challenges of privacy and security in generative AI applications;
- Human–AI co-creation paradigms;
- Explainability and interpretability in GenAI-generated outputs;
- Sustainability concerns and energy consumption in training large models;
- Integration of generative AI with IoT, blockchain, and cloud technologies.
Dr. Razi Iqbal
Dr. Shereen Ismail
Guest Editors
Manuscript Submission Information
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Keywords
- generative AI
- large language models
- artificial intelligence
- societal implication
- Internet of Things
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