Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness.

The International Conference on Artificial Intelligence Systems (AIS 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AIS 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AIS 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to:

Applications of LLMs in the software development lifecycle
Prompt Engineering
Automated bug detection, localization, and repair with LLMs
LLMs for software documentation and code comprehension
Reliability of LLMs generated code
Software security and vulnerability concerns
Ethical considerations and biases in LLMs applied to software engineering.
Integration of LLMs in software engineering tools and frameworks
LLM-based approaches for software testing and quality assurance
Implications on computer programing education and computer science curriculum
Fine tuning
Implications on the software engineering role in the industry

Organization Committee

Gregorio Martinez Perez, University of Murcia, Spain
Yunpeng Zhang, University of Houston, USA
Anastasija Nikiforova, University of Tartu, Estonia
Ahmed Aleroud, Augusta University, USA
Izzat Alsmadi, Texas A&M University-San Antonio, USA

KEYNOTE SPEAKERS

GACLM2025 Keynote at https://gaclm.org/2025/index.php

Authors Submission Guidelines:

Submission Site:

https://gaclm.org/2025/index.php

Paper format

Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.

Length

Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review.

Originality

Papers submitted to AIS must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to AIS. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately.

Author list

Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline.

Proofreading:

Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)

Publication:

All accepted papers in AIS 2025 and GACLM 2025 will be submitted to IEEEXplore for possible publication.

Program

The program will be announced with the GACLM 2025 program at https://gaclm.org/2025/index.php

Venue

For venue and acomodoation information, please visit https://GACLM2025.GACLM-conference.org/venue.php

Registration

For registration information, please visit https://gaclm.org/2025/index.php

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