The International Journal on Artificial Intelligence and Prompt Engineering focuses on scholarly research related to the design, optimization, evaluation, and application of prompts and interaction strategies for artificial intelligence systems. The journal welcomes interdisciplinary studies that advance systematic, reproducible, and theory-informed approaches to human–AI interaction through prompt design.

The scope of the journal includes, but is not limited to:

1. Prompt engineering for artificial intelligence systems

2. Prompt design, optimization, and evaluation

3. Human–AI interaction through prompt-based communication

4. Large language models and generative AI systems

5. Multimodal prompting for text, image, audio, and video generation

6. Prompt strategies for improving AI reliability and usability

7. Transparency, explainability, and accountability in prompt-based AI

8. Evaluation frameworks for prompt performance

9. Reproducibility in prompt engineering research

10. Prompt engineering for education, business, health, media, public services, and industry

11. Ethical issues in prompt design and AI-generated content

12. Human-centered approaches to AI system interaction

The journal accepts theoretical, empirical, experimental, computational, and applied studies that contribute to the development of artificial intelligence and prompt engineering as an emerging interdisciplinary field.