14th International Conference on Information Systems and Artificial Intelligence Technologies ICISAIT 2025

About ICISAIT

ICISAIT'2025 is a forum for researchers, developers and industrials in the information systems and Artificial Intelligence fields. Since 2025 edition, the new acronym of the event is ICISAIT (International Conference on Information Systems and Artificial Intelligence Technologies). It reports progress and development of methodologies, technologies, planning and implementation, tools and standards in information systems and Artificial Intelligence. The conference looks also at socio-economic aspects, impacts and success factors of information systems.
ICISAIT'2025 aims at addressing issues related to the design, development and use of information systems in organizations from a multidisciplinary perspective, and to discuss, the research, teaching and professional practice in the field. ICISAIT'2025 brings together leading academics and professionals in information systems from around the world. It aims at providing a platform for discussions on issues that take into consideration the social and technological aspects of information systems. The conference program includes paper presentation, keynote talks from prominent academics, Posters and Panels.

Important Dates

Registrations

Submission

ICISAIT'2025 Submissions of full and working papers should be original work and ideas without substantial overlap with pre-published papers.

All submissions can be submitted through the Microsoft CMT Conference Management System, using the following link:

Paper submission via Microsoft CMT...

- Those who do not have a Microsoft CMT account will need to create one.
- All submissions should adhere to ICISAIT formatting guidelines:

Download Template


ICISAIT'2025 Plagiarism Policy: The paper prior to submission should be checked for plagiarism. The similarity content should not exceed 20%. Further, you have to strictly implement the following ethical guidelines for publication:

- Any form of self-plagiarism or plagiarism from others' work(s) should be avoided. 

- If any model / concept / figure / table / data by any previously published work are used in your article, authors should properly cite a reference to the proposed novel research work.

 - If you are using any copyrighted material, you should acquire prior permission from the copyright holder.

- Paper should be submitted in .PDF and .DOC format via Microsoft CMT.

- If you encounter problems for submission, contact us by Email: 

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