First Dalhousie AI Symposium

Join us at the inaugural Dalhousie AI Symposium — an engaging forum dedicated to exploring the latest developments in artificial intelligence and machine learning. This Symposium brings together experts, enthusiasts, and professionals for a comprehensive overview of current AI research and its practical applications.

What to expect

• Talks by invited keynote speakers renowned in their fields, offering valuable insights into AI’s evolving role in various sectors;
• Discussion panels and breakout sessions where key topics are examined in depth, promoting both learning and the exchange of ideas;
• Networking opportunities with experts within our AI community.

Who should attend

We are focusing on building connections with the local AI ecosystem, fostering collaboration and knowledge-sharing. Ideal for industry, tech professionals, students and faculty members working/interested in the field of AI. We invite you to register and be a part of this meaningful conversation.

Call for posters

We are looking for submissions for poster presentations that cover, but are not limited to, any combination of the following topics:

• Fundamentals of AI and Machine Learning
• Ethical Considerations in AI
• AI in Healthcare
• AI in Oceans and Environmental Science
• AI in Agriculture
• AI in Law
• Law and Regulation of AI
• AI in Finance and Economics
• Natural Language Processing
• Computer Vision
• Robotics and Autonomous Systems
• AI in Education
• Data Science and Big Data Analytics
• AI for Social Good
• AI in Arts and Entertainment
• Human-Computer Interaction and AI
• AI and Cybersecurity
• Other topics in AI and deep learning

Submission guidelines:

• Abstracts should be a maximum of 500 words, clearly outlining the research question, methodology, contributions, results or other findings, and implications for the field of AI.
• Each submission must indicate the primary topic from the list above.
• Authors should ensure their abstracts are concise, comprehensive, and written in English.
• Submissions may have been published and presented previously or be under consideration for publication while being evaluated for this symposium – we are not an archival event.
• If you already have a PDF of your proposed poster (with approximate dimensions 121.92 x 91.44 cm), please upload that, as well.
• If your abstract is accepted, you will be required to register for the event in order to present your poster.

Submission Deadline: 24 April 2024 anywhere on Earth

How to submit:

• Please submit your abstracts through the following link: OpenReview
• Submission reviews are ‘double-blind’, so avoid using identifying information in the abstract itself. You can include references to existing work, however, ensure that these are not in the first-person.
• Submissions will be reviewed on a rolling basis, and early submission is encouraged. Accepted abstracts will be presented as posters during the symposium, providing a unique opportunity to showcase your work to the local AI community.
• For any inquiries regarding the submission process or the Symposium, please contact us at dais24@dal.ca. We look forward to your contributions!

Registration

Tickets are available at EventBrite.

Sponsor

We are grateful to Springboard Atlantic for sponsoring this event. Springboard Atlantic is a member-based organization of universities and colleges within Atlantic Canada, including Dalhousie, that helps to grow Atlantic Canada’s innovation economy through collaboration among post-secondary institutions and industry.

Organizers

Lead organizer: Frank Rudzicz, Canada-CIFAR AI Chair, Associate Professor, Faculty of Computer Science, Dalhousie University; Faculty Member, Vector Institute

Supporting organizers:

• Aishwarya Shrestha, Alumni and Industry Engagement Manager, Faculty of Computer Science, Dalhousie University
• Anthony Rosborough, Assistant Professor, Schulich School of Law & Faculty of Computer Science, Dalhousie University
• Janarthanan Rajendran, Sexton Chair in Reinforcement learning, Assistant Professor, Faculty of Computer Science, Dalhousie University
• Laura Clark, Assistant Dean (Advancement), Faculty of Computer Science, Dalhousie University
• Matthew Doyle, Manager, Computer Science, Office of Commercialization and Industry Engagement, Dalhousie University

For further inquiries, please contact us at dais24 [AT] cs.dal.ca.