The 37th Canadian Conference on Artificial Intelligence (Canadian AI 2024) will take place in-person at Guelph University (Guelph, Ontario) from Monday to Friday, May 27th to 31st, 2024. The event will be co-located with the Computer and Robot Vision conference (CRV). Each year Canadian AI brings together leading researchers and practitioners in AI from academia, industry, government, and NGOs to build a stronger AI community in Canada. Participants showcase Canada's ingenuity, innovation and leadership in intelligent systems.

Canadian AI 2024, the 37th Canadian Conference on Artificial Intelligence, invites papers that present original work in all areas of Artificial Intelligence, either theoretical or applied. Topics of interest include, but are not limited to:

Agent Systems
AI Applications
Automated Reasoning
Case‐based Reasoning
Cognitive Models
Constraint Satisfaction
Data Mining
Deep Learning and Neural Models
E‐Commerce
Ethics in AI, AI for social good
Evolutionary Computation
Explainable AI
Games
Information Retrieval and Search
Information and Knowledge Management
Knowledge Representation
Machine Learning
Multimedia Processing
Natural Language Processing
Planning
Robotics
Swarm Intelligence
Unbiased, safe and trusted AI
Uncertainty
User Modeling
Web Mining and Applications

We also welcome the submission of position papers, which present evidence-based arguments for a particular point of view without necessarily presenting a new system. There will be an option during the submission process to indicate that a paper is a position paper.


Important dates

Submission deadline: Sunday, Feb 11, 2024 (11:59 p.m. any Canadian time zone)
Author notification: Monday, March 11, 2024
Final papers due: Sunday, April 1, 2024 (11:59 p.m. any Canadian time zone)


Awards

A Best Paper Award and a Best Student Paper Award will be given at the conference respectively to the authors of each best paper, as judged by the Best Paper Award Selection Committee. For the Best Student Paper Award, the first author must be a registered student at the time of submitting the paper.
Submission details

We invite submissions of both long and short papers. Long papers must be no longer than 12 pages, and short papers must be no longer than 6 pages, including references, formatted using the conference template. The authors should consult the authors’ guidelines and use this proceedings template for LaTeX to prepare their papers. Alternatively, we provide this Microsoft Word template for authors unfamiliar with LaTeX.

Papers submitted to the conference must not have already been published, or accepted for publication, or be under review by a journal or another conference (preprint is acceptable). Submissions will go through a double-blind review process by Program Committee members to assess originality, significance, technical merit, and clarity of presentation. As such, submissions must be anonymized, and papers that fail to do so will be desk rejected without a review.

Use the following link to submit your paper:

https://cmt3.research.microsoft.com/CAIconf2024/
Publication and Presentation

The conference proceedings will be published in PubPub open access online format and submitted to be indexed/abstracted in leading indexing services such as DBLP, ACM, Google Scholar.

Authors of accepted long papers will be allotted time for an oral presentation during the conference. Accepted short papers will also be allotted time for a 5-minute oral presentation, followed by a poster session presentation. It is mandatory for at least one author of each accepted paper to attend the conference in person to present their work. Authors are expected to agree to this requirement before submitting their paper for review.

Furthermore, the corresponding author of each paper must complete and sign a copyright form on behalf of all authors associated with the paper. It is important that the corresponding author who signs the copyright form match the corresponding author listed on the paper. For the final submission, please use the provided camera-ready template linked above (LaTeX or Word).