Aim

The Journal of Generative Intelligence and Emerging AI is an international, peer-reviewed scholarly journal dedicated to advancing research and innovation in generative artificial intelligence and emerging AI technologies. The journal aims to publish high-quality theoretical, methodological, and applied research that contributes to the development, understanding, and responsible deployment of advanced AI systems.

By fostering interdisciplinary collaboration, the journal seeks to bridge foundational AI research with real-world applications across science, engineering, healthcare, education, industry, and society, while promoting ethical, transparent, and sustainable AI practices.

Scope

The scope of the journal encompasses a broad range of topics related to generative intelligence and emerging artificial intelligence technologies. The journal welcomes original research articles, review papers, methodological studies, and applied research reflecting current advances and future directions in AI. The following areas highlight the primary focus of the journal but do not limit submissions to only these topics.

Generative Artificial Intelligence

This area includes research on generative AI models such as large language models, diffusion models, generative adversarial networks, and multimodal generative systems. Studies may focus on model architectures, training strategies, evaluation techniques, and real-world applications.

Foundation Models and Large-Scale AI Systems

The journal publishes research on large-scale AI systems and foundation models, including pretraining strategies, scalability, transfer learning, fine-tuning, and performance optimization across diverse tasks and domains.

Emerging AI Algorithms and Architectures

This section covers novel and emerging AI approaches, including new learning paradigms, hybrid models, neuro-symbolic AI, self-supervised learning, and next-generation neural architectures.

Multimodal and Interactive AI

Research focusing on AI systems that integrate multiple data modalities such as text, image, audio, video, and sensor data is welcomed, including human–AI interaction, conversational AI, and interactive intelligent systems.

Applied Generative AI

The journal encourages applied research demonstrating the use of generative and emerging AI technologies in areas such as healthcare, education, creative industries, finance, manufacturing, scientific discovery, and decision support systems.

Responsible, Ethical, and Explainable AI

This area includes research on AI ethics, fairness, accountability, transparency, explainability, bias mitigation, and governance, with emphasis on responsible development and deployment of generative and emerging AI systems.

AI Evaluation, Safety, and Robustness

Submissions may address evaluation methodologies, robustness, reliability, safety, risk assessment, and benchmarking of generative and emerging AI models in real-world and high-stakes environments.

AI Systems, Infrastructure, and Deployment

This section focuses on AI system design, deployment, scalability, efficiency, energy-aware AI, model compression, and integration of generative AI into production environments.

Future Directions and Emerging Trends in AI

The journal welcomes forward-looking studies, conceptual frameworks, and visionary research that explore future challenges, opportunities, and transformative directions in artificial intelligence.