Time icon 08:30

REGISTRATION & LIGHT BREAKFAST

Time icon 09:15

WELCOME

FAIRNESS IN THE 4TH INDUSTRIAL REVOLUTION

Time icon 09:30
Nathalie de Marcellis

Nathalie de Marcellis - Full Professor - Polytechnique Montréal

Social Inclusion in the AI Pipeline

Time icon 09:50
 Abhishek Gupta

Abhishek Gupta - AI Ethics Researcher/ Founder - McGill University/ Montreal AI Ethics Institute

Developing Responsible AI Across Differential Domains

Time icon 10:15
Myriam Côté

Myriam Côté - Director, AI for Humanity - MILA

Building Human-Centric Beneficial AI for Humanity & Enterprise

Time icon 10:40

COFFEE

TRANSPARENCY

Time icon 11:25

Interpretability vs Explainability of AI

Time icon 11:45

The Black Box Barrier to Deep Learning

Time icon 12:05

Observing & Obtaining Explainable Results in AI Deployment

Time icon 12:25

LUNCH

Time icon 13:25

AI & ETHICS

Time icon 13:25
Richard Mallah

Richard Mallah - Director of AI Projects - Future of Life Institute

The Evolving Relationship Between Ethics and Safety in AI

Time icon 13:45

Designing Ethical Algorithms

Time icon 14:05

PANEL: Exploring the What, Why & How of Corporate Responsibility in AI Deployment

David Danks

David Danks - Professor of Philosophy & Psychology - Carnegie Mellon University

PANELIST

Time icon 14:40

COFFEE

BIAS & DIVERSITY

Time icon 15:20
Hilary Nicole Ervin

Hilary Nicole Ervin - Senior Strategist, Ethical AI, Trust & Safety - Google

Identifying Algorithmic Bias via Adversarial Testing

Time icon 15:40

Measuring Models: Building an Ecosystem of Trust

PLENARY SESSION

Time icon 16:00
Yoshua Bengio

Yoshua Bengio - Full Professor - Université de Montréal

Deep Learning and Cognition

Time icon 17:00

CONVERSATION & DRINKS

Time icon 08:30

DOORS OPEN

Time icon 09:15

WELCOME

AI ADOPTION IN ENTERPRISE

Time icon 09:30
Ashley Casovan

Ashley Casovan - Director for Data Architecture and Innovation - Government of Canada

Responsible AI in Government

Time icon 09:55

Assessing The Complexity & Use Cases of Data

Time icon 10:15

From Top to Bottom: The Beginnings of Responsible AI in Enterprise

Time icon 10:35

COFFEE

PRIVACY & SECURITY

Time icon 11:25

Privacy Sensitivity & Non-Discriminatory Data Mining

ROBUSTNESS

Time icon 11:45

Considering Data Breaches & AI Solutions Deployment

STRUCTURES & STRATEGIES

Time icon 12:05

Internal Governance & the Deployment of AI

Time icon 12:25

Creating a Responsible AI Strategy

Time icon 12:45

LUNCH

RESPONSIBLE ENTERPRISE AI

Time icon 13:45
Jason Cornell

Jason Cornell - Manager, Machine Learning, Recommendation Systems - CBC

Informing, Delighting and Entertaining ALL Canadians through Machine Learning

Time icon 14:05

Automation & The Evolution of Labour

Time icon 14:25

PANEL: Discussing Enterprise-Wide Ethical Approaches to AI: Reviewing Risk Management & Policy

Chelsey Colbert

Chelsey Colbert - Legal Associate, Privacy and Data Governance - Sidewalk Labs/Fasken

PANELIST

Richard Mallah

Richard Mallah - Director of AI Projects - Future of Life Institute

PANELIST

Time icon 15:00

END OF SUMMIT

Time icon 10:40
Day 1

New to Deep Learning? Time to Ask Qs! - NETWORKING

Roundtable Discussion With Experts

Time icon 13:25
Day 1

Model Selection: What Is The Correct Approach? - WORKSHOP

Access Best Practices & Understanding

Time icon 14:05
Day 1

Scaling Deep Learning in an Enterprise Setting - PANEL DISCUSSION

Deep-Dive Analysis with Cross-Industry Leaders

Time icon 14:55
Day 1

Talent & Talk - NETWORKING

Find Out Who Is Hiring!

Time icon 15:35
Day 1

Strategies to Best Move Deep Learning From Academia to Industry - WORKSHOP

Panel Discussion With Cross-Sector Professionals & Researchers

Time icon 10:30
Day 2

Investing in Startups: A Founder’s Story and Meet the Investors - NETWORKING

Network With VC's

Time icon 11:15
Day 2

Preparing Your Dataset for Machine Learning - TECHNICAL LAB

Technical Lab Session

Time icon 11:55
Day 2

Overcoming Hardware Challenges for Deep Learning - WORKSHOP

Deep Dive Presentation and Extended Q&A

Time icon 13:00
Day 2

Considering Personal and Corporate Privacy, Security & AI - WORKSHOP

Deep Dive Presentation

*Please note the agenda is subject to change

This website uses cookies to ensure you get the best experience. Learn more