Recent advances in Generative Artificial Intelligence

Abstract

Generative Artificial Intelligence (Generative AI) is a rapidly evolving field that is reshaping various domains by enabling the creation of synthetic data, enhancing analytical models, and improving decision-making processes. By leveraging deep learning principles, Generative AI can augment datasets, enhance information retrieval, and drive advancements in bioinformatics, among other applications. The ability to generate realistic and high-quality data also improves personalization in recommender systems and enables new frontiers in automation and creativity. As these models continue to evolve, it is crucial to explore their capabilities, limitations, and ethical considerations to ensure their responsible use.

At the same time, the fairness and transparency of Generative AI models are critical concerns, as biases in training data can propagate into generated outputs. Addressing these issues involves developing strategies to enhance model interpretability and ensure equitable outcomes across applications. The integration of fairness-driven approaches and human-in-the-loop methodologies can improve accountability.

Topics

The aim of this session is to foster collaboration among researchers working on Generative AI, particularly in the context of intelligent data engineering. Key topics include, but are not limited to:

• Advances in deep learning for generative models
• Generative AI for data augmentation and enhancement
• Fairness and bias mitigation in Generative AI
• Generative models in recommender systems
• Real-world applications of Generative AI
• Ethical considerations and explainability in Generative AI
• AI-driven generative approaches in bioinformatics and medical applications

We welcome research contributions focusing on Generative AI under the umbrella of computational intelligence and intelligent data analysis.

Organizers

• Alberto Fernández-Isabel – Rey Juan Carlos University, Spain (alberto.fernandez.isabel@urjc.es)
• Rubén Rodríguez Fernández – Rey Juan Carlos University, Spain (ruben.rodriguez@urjc.es)

Submission

See submission instructions for the conference at the call for papers. At the beginning of the submission, please choose the track “Recent Advances in Generative Artificial Intelligence”.

Special Session Papers Submission Deadline: June 15th, 2025