Artificial Intelligence, Generative AI and Large Language Models: Transforming Technology and Society
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 537
Special Issue Editor
Interests: software engineering; security of information systems; multi-agent systems; artificial intelligence; machine learning; large language models; generative AI; natural language processing; educational technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of Artificial Intelligence (AI), particularly in the domains of Generative AI (GenAI) and Large Language Models (LLMs), has fundamentally transformed how we interact with technology and process information. From ChatGPT and GPT-4 to Claude, Gemini, and emerging multimodal systems, these technologies are reshaping industries, education, research methodologies, and social interactions.
This Special Issue aims to explore the multifaceted impact of AI, GenAI, and LLMs across various domains, addressing the signficant opportunities and challenges that these technologies present. We invite researchers, practitioners, and thought leaders to contribute original research, comprehensive reviews, and innovative applications that will advance our understanding of these transformative technologies.
Topics of Interest Include, but are not limited to, the following:
Technical Advances and Methodologies:
- Novel architectures and training methodologies for Large Language Models;
- Multimodal AI systems integrating text, image, audio, and video;
- Prompt engineering and optimization techniques;
- Fine-tuning and adaptation strategies for domain-specific applications;
- Evaluation metrics and benchmarking for generative AI systems.
Applications and Use Cases:
- AI in education: Personalized learning, automated assessment, and pedagogical applications.
- Healthcare applications: Medical diagnosis, drug discovery, and patient care.
- Creative industries: Content generation, artistic creation, and media production.
- Software engineering: Code generation, debugging, and automated programming.
- Scientific research: Hypothesis generation, literature review automation, and data analysis.
Ethical and Societal Implications:
- AI bias, fairness, and algorithmic accountability;
- Privacy and security concerns in AI systems;
- Intellectual property and copyright issues in generative AI;
- Impact on employment and workforce transformation;
- AI governance, regulation, and policy frameworks.
Human-AI Interaction:
- User experience design for AI-powered systems;
- Trust, transparency, and explainability in AI;
- Collaborative intelligence and human–AI partnerships;
- Psychological and cognitive aspects of AI interactions;
- Digital literacy and AI education.
Technical Challenges and Solutions:
- Hallucination detection and mitigation in LLMs;
- Computational efficiency and environmental impact;
- Data quality, curation, and training methodologies;
- Robustness, reliability, and safety in AI systems;
- Federated learning and distributed AI approaches.
Industry and Economic Impacts:
- Startup ecosystems and AI entrepreneurship;
- Digital transformation strategies.
Prof. Dr. Aneta Poniszewska-Maranda
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Information 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
- artificial intelligence
- generative AI
- large language models
- machine learning
- natural language processing
- deep learning
- neural networks
- transformer models
- AI ethics
- human-AI interaction
- prompt engineering
- multimodal AI
- AI applications
- digital transformation
- AI governance
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