Aims

The journal Artificial Intelligence for Industry and Society (AIIS) aims to provide a platform for researchers, practitioners, and academics to explore, share, and discuss innovative applications and advancements of Artificial Intelligence (AI) in industrial and societal contexts. AIIS focuses on fostering interdisciplinary collaboration to address challenges, opportunities, and ethical considerations arising from the integration of AI technologies in diverse domains.

 Scope

Basic AI research
This scope includes research focusing on the "proof of concept" for AI technologies in controlled environments. It evaluates the integration of AI models and systems at the preliminary level to ensure feasibility and consistency with the potential application requirements in industry and society.

AI Technology Demonstration
This scope includes research that demonstrates AI technology in real or simulated environments. Studies in this area focus on improving the performance and reliability of AI-based solutions, such as machine learning models, robotics, and AI-driven systems, for practical applications in various industries and societal sectors.

Feasibility Studies AI Applications
This scope includes research focusing on the "proof of concept" for AI technologies in controlled environments. It evaluates the integration of AI models and systems at the preliminary level to ensure feasibility and consistency with the potential application requirements in industry and society.

Prototyping and Development of AI Systems
This scope includes research related to the development and validation of AI prototypes in operational environments. It involves testing the robustness and adaptability of AI systems in high-fidelity environments or real-world operational conditions to ensure their effectiveness in solving industrial and societal challenges.

Pilot Implementation and Scaling AI Solutions
This scope includes research focused on scaling AI technologies from prototypes to fully operational systems. It emphasizes the transition of AI solutions to larger scales while maintaining reliability and performance, including case studies on AI integration into existing industrial or societal systems.

Market Deployment and Societal Impact of A
This scope includes research that evaluates the performance of AI solutions in market conditions and societal contexts. It also addresses ethical considerations, societal acceptance, and regulatory compliance in the deployment of AI technologies. This includes case studies on AI commercialization and its impact on industries and communities.