2024 AI Symposium

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: 20 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!

Program

Keynote speakers:

  • Rada Mihalcea, Janice M. Jenkins Professor of Computer Science and Engineering, University of Michigan; Director of the Michigan Artificial Intelligence Lab
  • Doina Precup, Canada-CIFAR AI Chair; Associate Professor, School of Computer Science, McGill University; Mila Research Director, Google DeepMind Montreal

Workshops:

Workshop 1: A gentle introduction to deep learning

Organizer:

  • Sageev Oore, Canada-CIFAR AI Chair, Associate Professor, Faculty of Computer Science, Dalhousie University; Research Faculty Member, Vector Institute.

Workshop 2: AI in healthcare

Organizers:

  • Frank Rudzicz, Canada-CIFAR AI Chair, Associate Professor, Faculty of Computer Science, Dalhousie University; Faculty Member, Vector Institute
  • Tara Sampalli, Senior Director, Implementation Science and Evaluation, and Global Health Systems Planning, Research, Innovation & Discovery, Nova Scotia Health
  • Scott McKenna, Chief Information Officer at Nova Scotia Health Authority and IWK Health

Workshop 3: Creating a community for AI and tech in Atlantic Canada: challenges and opportunities

Organizer:

Workshop 4: AI for sustainability and oceans

Organizers:

  • Jennifer LaPlante, Chief Growth & Investment Officer, Canada’s Ocean Supercluster
  • Chris Whidden, Assistant Professor, Faculty of Computer Science, Dalhousie University; DeepSense COVE Digital Ocean Research Chair

Invited talk speakers:

  • Tara Sampalli, Senior Director, Implementation Science and Evaluation, and Global Health Systems Planning, Research, Innovation & Discovery, Nova Scotia Health
  • Scott McKenna, Chief Information Officer at Nova Scotia Health Authority and IWK Health

Panel discussion:

Panel on fast or slow AI adoption

Moderator: Andrew Cochran, Instructor in Communication and Technology Innovation, Faculty of Computer Science, Dalhousie University; Curator, journalismAI.com

Panelists:

  • Christian Blouin, Associate Dean (Academic), Faculty of Computer Science, Dalhousie University; Institutional Lead (AI Strategy), Dalhousie University
  • Travis Lacroix, Assistant Professor, Department of Philosophy, Dalhousie University
  • Carla Heggie, LLM Candidate, Schulich School of Law, Dalhousie University; Instructor/Adjunct Professor, Faculty of Computer Science, Dalhousie University
  • Tukan Das, VP Product Marketing at Foundry

Schedule

The symposium schedule will be updated with additional details shortly. Stay tuned for information on keynotes, panel discussions, and tutorial sessions.

8:00am

Registration, poster setup, and breakfast

8:45am

Welcome address

Christian Blouin

9:00am

Keynote talk

Doina Precup
(virtual)

9:30am

Invited talk

Tara Sampalli and Scott McKenna

10:00am

Hackathon pitch competition

10:15am

Coffee break and poster session

10:30am

12:30pm

Networking lunch and mixer

13:00pm

Networking lunch and poster judging

14:00pm

Keynote talk

Rada Mihalcea
(virtual)

14:30pm

Invited talk

15:00pm

Workshop summaries

Workshop organizers

15:30pm

Coffee break and poster session

15:45pm

Panel/Debate: fast or slow AI adoption

16:45pm

Awards and closing ceremony

Location

The Student Union Building, 6136 University Avenue, 2nd floor, Halifax, NS B3H 4R2.

Registration

Tickets are available at EventBrite.

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.