Real-World AI Systems is an international, peer-reviewed journal dedicated to advancing research on the practical implementation, deployment, and impact of artificial intelligence (AI) technologies in real-world applications. The journal serves as a platform for researchers, engineers, policymakers, and industry practitioners to share cutting-edge findings, methodologies, and case studies that bridge the gap between theoretical AI advancements and their tangible societal, economic, and industrial benefits.  

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Aims and Scope

Real-World AI Systems is an international, peer-reviewed journal dedicated to advancing research on the practical implementation, deployment, and impact of artificial intelligence (AI) technologies in real-world applications. The journal serves as a platform for researchers, engineers, policymakers, and industry practitioners to share cutting-edge findings, methodologies, and case studies that bridge the gap between theoretical AI advancements and their tangible societal, economic, and industrial benefits.  

The journal emphasizes robust, scalable, and ethical AI solutions that address real-world challenges across diverse domains, including healthcare, manufacturing, finance, transportation, and environmental sustainability. By fostering interdisciplinary collaboration, *Real-World AI Systems* aims to accelerate the transition of AI innovations from labs to real-world deployment while ensuring fairness, transparency, and accountability.  

The scope of *Real-World AI Systems* includes, but is not limited to, the following research areas:  

- AI Deployment & Scalability  

- Large-scale AI system integration  

- Edge AI and distributed computing  

- AI in resource-constrained environments  

- Domain-Specific AI Applications  

- AI in healthcare (diagnostics, treatment planning, etc.)  

- AI for smart cities and infrastructure  

- Industrial AI (predictive maintenance, automation, etc.)  

- AI in finance and business analytics  

- Ethical, Legal & Social Implications

- Fairness, bias, and accountability in AI systems  

- Regulatory and policy frameworks for AI deployment  

- Societal impact and public trust in AI technologies  

- AI System Robustness & Reliability  

- Adversarial robustness and security  

- Explainable AI (XAI) and interpretability  

- Testing, validation, and certification of AI systems  

- Human-AI Collaboration

- Human-in-the-loop AI systems  

- AI for decision support and augmentation  

- User experience and interaction design for AI applications

Frequency: Quarterly

Language: English

Authors should ensure that all submitted manuscripts are written in clear, coherent, and precise English in order to optimize readability.
Authors are welcome to contact Bilingual Publishing Group for options should their submissions require translation. Additional charges may apply.

 

Article Processing Charges

As an open-access journal, all articles published in Journal of Stem Cell Bioengineering are accessible electronically from the journal website without the need for subscription fees or other forms of payment from the readers. An Article Processing Charge (APC) is applicable to papers accepted after peer review. The APC is intended to cover the underlying costs of article processing, such as peer-review, copy-editing, typesetting, publishing, content depositing and archiving processes.
There are no charges for rejected articles, no submission charges, and no surcharges based on the length of an article, figures or supplementary data. Some items (Editorials, Corrections, Addendums, Retractions, Comments, etc.) are published free of charge.

 

Journal Title	APC(USD)
Real-World AI Systems	$400