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REGISTRATION & LIGHT BREAKFAST

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WELCOME

RESPONSIBILITY IN THE 4TH INDUSTRIAL REVOLUTION

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Jocelyn Maclure

Jocelyn Maclure - Professor - Université Laval

The Black Box Problem: The Case for an Explainability Requirement

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Nathalie de Marcellis

Nathalie de Marcellis - Full Professor - Polytechnique Montréal

Social Inclusion in the AI Pipeline

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Myriam Côté

Myriam Côté - Director, AI for Humanity - MILA

Building Human-Centric Beneficial AI for Humanity & Enterprise

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COFFEE

TRANSPARENCY & FAIRNESS

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Alain Tapp

Alain Tapp - Full Professor - Université de Montréal

Fairwashing: The Risk of Rationalization

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AI & ETHICS

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Richard Mallah

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

The Evolving Relationship Between Ethics and Safety in AI

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 Graeme Hirst

Graeme Hirst - Professor - University of Toronto

Ethical Issues in NLP

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Abhishek Gupta

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

Developing Responsible AI Across Differential Domains

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LUNCH

BIAS

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Dexter Fichuk

Dexter Fichuk - Data Scientist (NLP) - Shopify

Finding Bias In Your Systems

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Hilary Nicole Ervin

Hilary Nicole Ervin - Sr Strategist, Trust & Safety - Google

Identifying Algorithmic Bias via Adversarial Testing

DIVERSITY

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Measuring Models: Diverse Data & Representation

RESPONSIBLE ENTERPRISE AI

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

David Danks

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

PANELIST

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COFFEE

PLENARY SESSION

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Yoshua Bengio

Yoshua Bengio - Full Professor - Université de Montréal

Deep Learning and Cognition

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CONVERSATION & DRINKS

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DOORS OPEN

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WELCOME

CONSIDERATIONS FOR RESPONSIBLE AI

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Privacy Sensitivity & Non-Discriminatory Data Mining

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Considering Data Breaches & Model Robustness in AI Solutions Deployment

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Automation & The Evolution of Labour

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COFFEE

RESPONSIBLE AI ADOPTION & DEPLOYMENT

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

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Jason Cornell

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

Informing, Delighting and Entertaining ALL Canadians through Machine Learning

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Ashley Casovan

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

Responsible AI in Government

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Jun Luo

Jun Luo - Director of Decision Making and Reasoning - Huawei, Noah’s Ark Lab

Towards Trustworthy Decision Making for a Fully Connected, Intelligent World

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LUNCH

STRUCTURES & STRATEGIES FOR RESPONSIBLE AI

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Manuel Morales

Manuel Morales - Chief AI Scientist - National Bank of Canada

AI Governance in Banking: The Role and Challenges of Deploying AI in Banking

Dominique Payette

Dominique Payette - Lawyer, Legal Affairs - National Bank of Canada

AI Governance in Banking: The Role and Challenges of Deploying AI in Banking

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Creating a Responsible AI Strategy

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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

Oana Magdalena Frunza

Oana Magdalena Frunza - NLP & Machine Learning Scientist - Morgan Stanley

PANELIST

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END OF SUMMIT

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Day 1

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

Roundtable Discussion With Experts

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Day 1

How The Pharmaceutical Industry Is Leveraging Deep Learning - INDUSTRY SPOTLIGHT

Industry Spotlight with Nimit Jain, Director Data Science, Novartis

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Day 1

Deep Learning Advancements Altering the Retail Environment - INDUSTRY SPOTLIGHT

Industry Spotlight on the Retail Industry

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Day 1

Lunch & Learn - Roundtable Discussions

Join Industry Leaders & Top Academics for Discussions over Lunch

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Day 1

Scaling Deep Learning in an Enterprise Setting - PANEL DISCUSSION

Deep-Dive Analysis with Cross-Industry Leaders

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Day 1

Algorithmic Profiling & Illegal Discrimination: A Cross-Industry Analysis - WORKSHOP

Mini Meet Up with Mirka Snyder Caron, Associate, Montreal AI Ethics Institute

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Day 1

Talent & Talk - NETWORKING

Find Out Who Is Hiring!

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Day 2

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

Network With VC's

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Day 2

Preparing Your Dataset for Machine Learning - TECHNICAL LAB

Technical Lab Session

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Day 2

Transfer Learning for Smart Processes - RESEARCH SPOTLIGHT

Research Spotlight on the Manufacturing Sector

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Day 2

Rising Stars - PRESENTATIONS & ROUNDTABLE DISCUSSION

Hear from the Next Generation of AI Pioneers over Lunch

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Day 2

Deep Learning: The Human Urban Mobility - RESEARCH SPOTLIGHT

Research Spotlight with Arash Kalatian, PhD Candidate, Ryerson University

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Day 2

Considering Personal and Corporate Privacy, Security & AI - WORKSHOP

Deep Dive Presentation

*Please note the agenda is subject to change

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