Aim:
The Journal of Trends and Challenges in Artificial Intelligence is an international, peer-reviewed journal dedicated to high-quality research that demonstrates the practical application, evaluation, and measurable impact of AI across multidisciplinary and interdisciplinary domains. The journal provides a platform for academics, researchers, and industry professionals to share innovative AI-based solutions that generate quantifiable outcomes in industry, healthcare, education, society, finance, public administration, and other relevant fields.

Scope:
The journal publishes original research, applied studies, case studies, pilot implementations, methodological innovations, system-level AI evaluations, and review articles that demonstrate clear, measurable contributions to technological, operational, organizational, or societal outcomes.
The journal emphasizes the practical, measurable, and system-level contributions of AI, including, but not limited to:
• AI Applications in Industry and Business: smart factories, Industry 4.0/5.0, supply chain optimization, robotics, automation, predictive maintenance, process and operational improvements, ERP and digital business ecosystems.
• AI in Healthcare and Medicine: diagnostic systems, predictive analytics, medical imaging, patient monitoring, healthcare management, and AI-enabled clinical decision support, with demonstrable improvements in outcomes.
• AI in Education and Knowledge Systems: intelligent tutoring systems, cognitive analytics, adaptive learning, workforce skill development, and educational process optimization.
• AI in Finance and Economics: risk modeling, fraud detection, automated trading, credit scoring, and decision support systems.
• AI for Society and Governance: ethical and responsible AI, AI regulation, transparency, privacy, security, multimodal AI, citizen services, policy-making, social and environmental impact, climate change mitigation, and sustainable development.
• Emerging AI Trends: machine learning, deep learning, neural networks, generative AI, natural language processing, computer vision, IoT, edge and cloud AI, quantum AI, blockchain-enabled AI systems, and AI-powered decision support tools.

Exclusions:
Manuscripts that focus purely on theoretical AI models without practical or measurable application, basic sciences unrelated to AI, purely clinical or medical studies without AI-enabled insights, or socio-cultural analyses without clear AI or system-level implications are outside the scope of the journal.

Key Requirement:
All submissions must demonstrate applied AI solutions with measurable outcomes, integrating technological, operational, educational, healthcare, managerial, or societal perspectives to address complex real-world challenges. Borderline topics (e.g., ethics, culture, education, law, social sciences) must explicitly include AI implementation and quantifiable results.

Format
Published quarterly, with dedicated issues on a regular basis as well as a general issue per year.

Management
An Editorial Advisory Group and an Editorial Board both including outstanding individuals from academia and industry. Eminent guest editors for the dedicated issues. Editors of websites managing and maintaining the internet services.

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