Call for Papers » Artificial Intelligence
Artificial Intelligence Conference - Call for Papers
We invite your original quality submissions to the 13th Intelligent Systems Conference 2027 Track on Artificial Intelligence.
This track spans the systems, applications, and governance questions that determine whether increasingly capable AI can be deployed responsibly at scale, from generative AI and the pursuit of artificial general intelligence to the distributed and hybrid architectures that put intelligence into the field. We invite contributions on trustworthy and responsible AI alongside applied studies in healthcare, climate, and sustainability where the stakes of getting it wrong are high. Submissions may include systems papers demonstrating embodied robotics or pervasive computing deployed in realistic environments, work on secure architectures that establish trust and integrity across intelligent systems, or studies of affective computing that examine how systems recognize and respond to human states. Particular value is placed on evidence that a system operates reliably once deployed, not just in a lab setting, and on honest evaluation of what remains unresolved. The track ultimately looks for artificial intelligence research that advances real-world deployment and trust, not just headline capability numbers.
Round 1 (Open)
- Submission Deadline: 01 November 2026
- Notification of Acceptance: 01 December 2026
- Camera-Ready Submission: 15 December 2026
- Conference Dates: 2-3 September 2027
Round 2 (Closed)
- Submission Deadline: 01 December 2026
- Notification of Acceptance: 01 January 2027
- Camera-Ready Submission: 15 January 2027
- Conference Dates: 2-3 September 2027
All times are in Anywhere on Earth (AoE) time zone.
Topics of Interest
- Generative AI: Models that synthesize text, images, audio, or structured data, including diffusion and autoregressive approaches, and their evaluation, safety, and real-world deployment.
- Artificial General Intelligence (AGI): Research toward AI systems with broad, human-level reasoning and adaptability across tasks, rather than narrow, single-purpose capability.
- Trustworthy & Responsible AI: The governance, transparency, and accountability practices that determine whether an AI system can be safely deployed, spanning explainability, regulatory compliance, and the ethical review of AI systems throughout their lifecycle.
- AI for Healthcare: Diagnostic support, clinical decision systems, medical imaging analysis, and patient outcome prediction using machine learning, with attention to safety and regulatory constraints.
- Distributed and Hybrid AI: AI architectures that combine multiple learning paradigms or distribute intelligence across networked systems.
- AI for Climate Change & Sustainability: Machine learning applications to climate modeling, emissions tracking, resource optimization, and environmental monitoring.
- Robotics & Embodied AI: Robots and embodied agents that learn and act through physical or simulated interaction with their environment, spanning locomotion, manipulation, and the integration of perception, reasoning, and control needed to operate outside a laboratory setting.
- Pervasive Computing: Computing embedded seamlessly into everyday environments and objects to provide continuous, context-aware services.
- Affective Computing: Systems that recognize, interpret, and respond to human emotional states through sensing and modeling.
- Secure Architectures: Hardware and software design principles that establish verifiable trust and integrity throughout a computing system.
Submission Guidelines
- We accept initial submission in PDF format only.
- To comply with the double-blind peer review process, please refrain from including author details, university, country information, or any other author-related information in the paper.
- Prior to submission, authors are responsible for ensuring their papers are thoroughly checked and proofread. Once submitted, no revisions are permitted during the review process. If accepted, the authors may make minor revisions before final publication to address any identified areas for improvement.
- At the time of camera ready submission, please include complete author information as per the paper format. Author names, email addresses, and their sequence will be considered final as per the submitted camera-ready version.
- Submissions should be primarily original work. No more than 25% of the text can be drawn from previously published material by the same authors, and any such reuse must be properly cited. Therefore, at least 75% of the manuscript must consist of new, unpublished content.
Formatting Guidelines
- Manuscripts should generally be limited to 18 pages for the main text (excluding references and appendices of upto 7 pages). Submissions exceeding this limit may be considered at the chair's discretion, particularly for review or survey articles.
- Manuscripts should present original work and fall within the scope of the conference topics.
- It is the authors' responsibility to ensure the accuracy of all quotations, citations, figures, maps, and tables within their manuscript.
- The abstract should adhere to the 150-250 word limit as per the conference guidelines.
- Figures and tables must be positioned within the manuscript where they are discussed and should be clear and easily readable.
- All figures, tables, references, appendices, algorithms, annexures, and supplementary materials must be clearly numbered, properly cited in the text.
- Tables must be neatly aligned within the page margins and must not overflow the page boundaries.
- Figure captions and table headings should be concise, unique, and ideally limited to a maximum of two lines.
- References should be formatted correctly and consistently, including all the necessary details such as author names, paper titles, publication sources, and years. Every reference listed must be cited in the main text.
- The use of foreign languages in the manuscript is not allowed unless accompanied by a corresponding English translation.
- The manuscript must adhere to the provided template.
Review Process
Submissions will be reviewed anonymously (double-blind). Therefore, your manuscript must not reveal your identity or affiliation. Specifically: omit author names and affiliations from the manuscript; anonymize citations and mentions of your own prior work that is closely related to the submitted paper; and exclude funding or other acknowledgments.
Each paper will undergo review by at least three regular program committee members or two senior program committee members. Acceptance will be based on novelty, technical depth, elegance, impact (practical or theoretical), and presentation quality.
- Original: The paper should explore a new idea, project, or issue; offer new insights on existing research; present new research; or provide a novel perspective on existing information.
- Engaging: The presentation should be interactive and engage the readers.
- Significant: The paper should address and discuss key issues related to improving the effectiveness of current techniques, and its content should be easily understood and widely applicable.
- Quality: Claims made in the paper must be substantiated with adequate data, reference relevant existing work, and honestly acknowledge any limitations.
- Clear: The intended outcomes should be easily understood.
- Relevant: The paper's topic must be relevant to at least one of the conference's designated tracks.
Use of AI-Assisting Tools
The conference permits the responsible use of Generative AI (GenAI) tools in manuscript preparation. Authors are required to observe the following:
- Declare Usage – Any use of GenAI must be disclosed in the manuscript (e.g., in a Declaration on Generative AI section).
- Maintain Responsibility – Authors must critically review and edit AI-assisted text; unedited AI output is not acceptable.
- No AI Authorship – GenAI tools cannot be listed as authors. Authorship is limited to humans who take full responsibility for the work.
- Limit Role of AI – GenAI may support drafting and language refinement, but the development of scientific ideas, arguments, results, and conclusions must be carried out by human authors.
- Accountability – Authors remain fully accountable for the accuracy, originality, and integrity of their manuscripts.
Note: Non-compliance with these guidelines will be treated as academic misconduct and may result in the removal of published work.
Other Tracks at 13th Intelligent Systems Conference 2027
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