The 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), to be held in Montreal, Canada, from August 16th-22nd, 2025, invites researchers and practitioners to submit demonstrations to its Demonstration Track. The track seeks to bridge theoretical advancements and practical applications in AI by facilitating the exchange of knowledge and ideas. Accepted submissions will be published in the conference proceedings and considered for the prestigious Innovation Award, recognizing outstanding contributions to the field.
Topics
As the premier general conference on AI, IJCAI 2025 welcomes demonstrations spanning the breadth of AI research, with a particular focus on practical applications. We particularly encourage submissions showcasing how AI addresses real-world challenges. Areas of interest include, but are not limited to:
- Foundational AI Techniques: Computer Vision, Constraint Programming, Heuristic Search, Knowledge Representation and Reasoning, Machine Learning, Natural Language Processing, Planning and Scheduling, Uncertainty in AI.
- AI Systems and Interactions: Agentic AI, Arts and Creativity, Game Playing, Human-Computer Interactive Systems, Multi-Agent Systems, Recommender Systems, Speech Processing.
- AI for Social Good: Demonstrations that address societal challenges and contribute to the positive impact of AI.
Demos should clearly demonstrate the applicability of the chosen AI techniques and highlight the practical considerations for their deployment.
Important Dates
Submission Deadline: February 11th, 2025
Notification Deadline: April 28th, 2025
Camera Ready Deadline: TBD
Note: All deadlines are Anywhere On Earth, UTC-12.
Demo Presentation Formats:
IJCAI 2025 offers two ways to present your demo:
- Live Demo Booth: Present your demonstration interactively at a dedicated booth during the demo session.
- Demo Talk: Deliver a 10-minute presentation (slides/video) showcasing your demo.
Submission Process
To submit your demonstration, please follow these steps:
- Formatting: Prepare your paper using the latest LaTeX styles or Word template provided in the IJCAI 2025 author kit: https://www.ijcai.org/authors_kit
- Keywords: Upon submission, you will be asked to select keywords that best represent your demo’s content. Please choose specific keywords whenever possible; general categories are for cases where no specific keyword accurately reflects your contribution.
- Submission Platform: Submissions are handled through CMT. Access the IJCAI 2025 submission site and choose “Demos” from the track selection menu.
Submission Requirements
Your submission package must include:
- A paper (PDF) describing the demonstrated system, its application domain, problem scenario, technology, AI techniques, innovations, and interactive elements. Include links to supplementary materials, if any.
- A demo video (URL, max. 10 minutes) clearly showcasing the system’s functionality. The video can be a mix of live demo footage, voice-over with slides, screencasts, or other suitable formats. The video’s primary purpose is to convey what attendees will experience during the live demo.
Paper Format
- Papers must be formatted according to the IJCAI 2025 guidelines (link above).
- The submitted document must be a single PDF.
- Submissions that violate the IJCAI 2025 style (e.g., by decreasing margins or font sizes) will be rejected without review.
Paper Length
- The page limit is 5 pages: 3 pages for the main text (including all figures/tables) and up to 2 additional pages for references.
- Over-length papers will be rejected without review.
- For accepted papers, acknowledgments and a contribution statement of each co-author can be optionally included in the two reference pages.
Anonymity: Submissions are NOT anonymous.
Ethical Impact: Consider including a statement on the potential broader impacts (ethical and societal) of your work. This part can be put in either the main body of the paper or on the reference pages. This is particularly important for demos involving sensitive data or tasks. See the IJCAI ethics guidelines (https://2025.ijcai.org/call-for-papers-main-track/) for more details.
Use of LLMs: Generative AI models, including ChatGPT, Gemini, LLaMA, or similar LLMs, do not satisfy the criteria for authorship of papers published in IJCAI 2025. If authors use an LLM in any part of the paper-writing process they assume full responsibility for all content, including checking for plagiarism and correctness of the entire submission. We encourage papers that describe research on or involving LLMs. Text generated by an LLM as part of the paper’s methodology or experimental analysis is allowed but needs to be properly documented and described in the paper.
Review Process
Review Process: The program committee will review submissions based on originality, innovation, applicability, and potential impact. There is no rebuttal phase.
Participation in the conference: At least one author of each accepted paper must attend the conference in Montreal and present the work. We are looking forward to the community meeting in person. Authors who possess evidence indicating their inability to obtain visas for Canada may submit a request to pcchair@2025.ijcai.org to participate in the satellite event in Guangzhou. Papers not presented in person, whether at the main conference in Montreal or the satellite event in Guangzhou, will be excluded from the proceedings unless one of the authors provides notification of exceptional circumstances to IJCAI via pcchair@2025.ijcai.org. Any such exceptional circumstances must receive prior approval from IJCAI.
Policies:
- Conflict of Interest: The IJCAI conflict of interest policy applies to all participants (https://www.ijcai.org/IJCAI_Conflict_of_Interest_Policy.pdf). Breaches may lead to rejection and/or future submission restrictions.
- Confidentiality: Submissions will be kept confidential until publication.
Enquiries
Please send all enquiries about the Demonstration Track to the IJCAI 2025 Demonstration Track Chair:
Daniel Toyama, Google DeepMind, Canada
via the following address: demos@2025.ijcai.org