Background
Canada's leadership in Artificial Intelligence (AI) is drawing attention from techpreneurs around the globe. Currently, Montréal has the highest concentration of researchers and students of deep learning in the world, while Toronto has the highest concentration of AI start-ups, with an investment of over CAD $1.3 billion for AI research and development. As this technology continues to impact almost every industry and aspect of our lives, this event will provide a forum to the Chamber's sponsors and key stakeholders to:
-Improve their understanding of AI and successful applications
-Explore the future opportunities of this technology and how to foster cross-sector collaboration
-Create new connections and collaborations between leaders and innovators in Canada and Italy in this field.

Format
With a view to engaging a new audience and deepening the knowledge of experienced participants, the event will take the format of a moderated panel discussion where speakers will simplify the complexity of the subject by each making a four-minute presentation on one AI aspect, followed by a Q&A session with the audience. Following the panel discussion, the participants will be able to continue the conversation and interact with leaders driving the AI field.

Objectives
The panel discussion aims to provide participants with:
-A better understanding of the application and future of AI
-An Increased awareness of the opportunities and challenges associated with this technology
-A preliminary identification of collaboration opportunities between Canada and Italy

The term was coined by John McCarthy and Marvin Minsky back in 1956 at Dartmouth College in Hanover, New Hampshire, where many experts gathered to brainstorm on intelligence simulation.

What is AI?

The term was coined by John McCarthy and Marvin Minsky back in 1956 at Dartmouth College in Hanover, New Hampshire, where many experts gathered to brainstorm on intelligence simulation.
At its most basic, it is logical calculation based on the binary system of “yes” and “no”, translatable into ones and zeros. Obviously, machines are capable of doing this very fast, and on multiple layers. But essentially, machines are implementing logical instructions to achieve certain goals.
Most sophisticated AI projects today deal with neural nets, “deep learning” (meaning the program itself “learns” from trial and error (like Deep Mind’s AlphaZero program that played millions of Go games against itself and eventually won 100 games in a row, played against Go champions and also against AlphaGo).
The Elon Musk-backed nonprofit company OpenAI declines to release research publicly for fear of misuse.
The creators of a revolutionary AI system that can write news stories and works of fiction – dubbed “deepfakes for text” – have taken the unusual step of not releasing their research publicly, for fear of potential misuse.
OpenAI, an nonprofit research company backed by Elon Musk, Reid Hoffman, Sam Altman, and others, says its new AI model, called GPT2 is so good and the risk of malicious use so high that it is breaking from its normal practice of releasing the full research to the public in order to allow more time to discuss the ramifications of the technological breakthrough.