Canadian AI Industry Track
Canadian AI 2023 invites industry researchers, developers, entrepreneurs and emerging startups to take part in the upcoming Industry Track of the 36th International Conference on Artificial Intelligence in Montreal, Canada. As an industrial contributor, you will have the opportunity to share your experience, get insight from the global network of academic experts and researchers, and meet graduate students interested in your activities.
This year, the highlighted topic for this track will be: AI in Critical Applications: Can We Rely on AI?
The track will have the following sessions:
- A 40 minute panel discussion on this year’s highlighted topic “AI in Critical Applications: Can We Rely on AI?” followed by 20 minutes of questions.
- A session of 1 hour of industry talks / presentations from accepted proposals (each talk 15 min followed by 5 minutes of questions).
- A session of 30 minutes of poster presentation from all submitted proposals.
Participants are invited to submit research proposals (Call for Proposal is given below) to present their research at the Industry Track either in the form of an in-person talk or posters. Industry participants can bring up to two posters (can be student posters from academic collaborations or industry research) to be displayed at the conference to highlight relevant AI efforts, activities, and/or outcomes in the relevant company or field.
Call for proposal
Please submit a brief proposal to present at the Industry Track at the Canadian AI 2023. The proposal must include the following in a single PDF document.
- Talk/poster title
- Name of the presenter(s), title(s) and company
- An abstract (max. 500 words) to be reviewed for conference presentation / talk
- A short description (max. 100 words) to publish on the Canadian AI conference website when selected for a talk
Proposals must be submitted following the conference publication guideline using the following link: easychair.org/conferences/?conf=canai2023
Topics of interest
Topics of interest include, but are not limited to:
- AI robustness
- Explainable / trustable AI
- Implementation and use of AI in critical market segments (e.g., Energy/Utilities, Transportation, Industry, etc.)
- Safety-critical AI
- Mission-critical AI
- Business-critical AI
- AI reliability
- Online learning in critical AI systems
- Critical AI architectures
- Quantification of AI performance, functionality, reliability, availability, maintainability or integrity
- Progress in AI adoption in standards
- Training and deployment of critical AI
Paper submission deadline: 19 February 2023 (11:59 p.m. UTC-12)
Author notification: 26 March 2023
Final papers due: 9 April 2023
Industry Track: 5 June 2023
Industry Track Co-chairs
Product Line Architect, Research & Technology
Thales Canada, Transportation Solutions
CEO at Invision AI