AI Policy

Emara Journal of Architecture recognizes the growing importance of artificial intelligence (AI) in architecture and its potential to transform the way we design and build buildings. As a leading journal in the field of architecture, we are committed to promoting responsible and ethical use of AI and ensuring that its use is aligned with our values of social and environmental responsibility.

This policy outlines the principles and guidelines that Emara Journal of Architecture will follow when using or reporting on AI in its publications. This policy is intended to provide guidance for authors, reviewers, and editors and to ensure that our publications contribute to the responsible development and deployment of AI in architecture.


  1. Transparency and Explainability: Emara Journal of Architecture values transparency and explainability in the use of AI. We encourage authors to provide detailed descriptions of the AI systems used in their research and to explain how they arrived at their results.

  2. Fairness and Non-discrimination: Emara Journal of Architecture is committed to promoting fairness and non-discrimination in the use of AI. We expect authors to avoid using AI systems that perpetuate biases or discriminate against individuals or groups.

  3. Privacy and Data Protection: Emara Journal of Architecture values privacy and data protection. We expect authors to adhere to all relevant laws and regulations regarding the collection, use, and storage of data, and to obtain informed consent from research participants when appropriate.

  4. Safety and Reliability: Emara Journal of Architecture values safety and reliability in the use of AI. We expect authors to ensure that their AI systems are safe, reliable, and robust, and to provide evidence of their performance and accuracy.

  5. Social and Environmental Responsibility: Emara Journal of Architecture values social and environmental responsibility in the use of AI. We expect authors to consider the potential social and environmental impacts of their AI systems and to design them in a way that maximizes their positive impact and minimizes their negative impact.