Programme 2020

Hear from the biggest names in AI

 

Get ready for two-days of mind-boggling innovation, heated discussions on AI and ethics and AI4good, applied solutions for enterprise and hands-on workshops.

As always, in conjunction with Ada-AI, we’ve placed a BIG focus on #AI4Good to make sure that wonderfully capable technological methods like deep learning and machine learning are developed in a way that makes the world a better place.

Don’t forget to subscribe to the World Summit AI newsletter below to receive all the latest event updates directly in your inbox!

Day 1 Day 2

REGISTRATION OPENS 7.30

09:00 09:1509:3009:4510:0010:1510:3010:4511:0011:1511:3011:4512:0012:1512:3012:4513:0013:1513:3013:4514:0014:1514:3014:4515:0015:1515:3015:4516:0016:1516:3016:4517:0017:1517:30
WELCOME09:00
JOANA BAPTISTA
Teen Entrepreneur, Tech Enthusiast and Youth Engagement
InspiredMinds
JOANA BAPTISTA
Teen Entrepreneur, Tech Enthusiast and Youth Engagement
InspiredMinds

WELCOME

Where: Main Stage
When: 09:00 - 09:20
   
HEADLINER: How to Know09:20
CELESTE KIDD

CELESTE KIDD
Assistant Professor of Psychology
UC Berkeley

CELESTE KIDD

CELESTE KIDD
Assistant Professor of Psychology
UC Berkeley

HEADLINER: How to Know

Where: Main Stage
When: 09:20 - 09:45
This talk will discuss research about the core cognitive systems people use to guide their learning about the world—including attention, curiosity, and metacognition (thinking about thinking). It will also discuss why people sometimes hold beliefs that are inconsistent with evidence available in the world, and how we might leverage our knowledge of human curiosity and learning to design systems that better support access to truth and reality.  
HEADLINER: Using robotics to better understand the natural world09:45
GREGORY DUDEK

GREGORY DUDEK
Professor, School of Computer Science, James McGill Chair, McGill University;
VP Research & Lead Samsung AI Center Montreal

GREGORY DUDEK

GREGORY DUDEK
Professor, School of Computer Science, James McGill Chair, McGill University;
VP Research & Lead Samsung AI Center Montreal

HEADLINER: Using robotics to better understand the natural world

Where: Main Stage
When: 09:45 - 10:10
This talk addresses the development of robotic systems that can collect data in the natural world, either on land or underwater.  While the last decade has seen immense progress in the development and deployment of self-driving vehicles, moving around in the natural world without a map and outside of cities remains much more challenging.  Most of the world remains undeveloped, and understanding and describing the environment is a huge challenge which is critical for many reasons. Navigation in dynamic unstructured environments is still an area where there is limited consensus over the correct kinds of approach, partly due to the diversity of environments, as well as need to learn`on the fly’.    In this talk ,Greg will discuss the key challenges, and present solutions that allow autonomous vehicles to drive in the forest and underwater using vision-guided machine learning.  In this body of work, a key theme is the synthesis of model-based methods that can exploit powerful prior knowledge, and model-free methods that can adapt to the variations  in an unconstrained world.
HEADLINER: Overcoming challenges and turning AI aspirations into outcomes10:10
STEVE ASTORINO
VP of Development, Data and AI, Hybrid Data Management and Canada Lab
IBM
STEVE ASTORINO
VP of Development, Data and AI, Hybrid Data Management and Canada Lab
IBM

HEADLINER: Overcoming challenges and turning AI aspirations into outcomes

Where: Main Stage
When: 10:10 - 10:35
A recent 2019 Forrester study has found that 51% of enterprises currently experimenting with AI technologies are struggling with challenges having to do with the operationalizing, sustaining and scaling AI. As business leaders and their teams of data scientists are trying to prepare their data for an AI and multi-cloud world and unlock the business value hidden in their data, they are looking to hear from others who are currently exploring and working with AI technologies. Join keynote speaker, Steven Astorino, VP of Development, Data and AI and Canada Lab Director, IBM as he shares best practices that companies are taking to collect, organize, analyze, infuse AI, and modernize their data, as well as the challenges they have faced in their AI Journeys.  By learning from each other, we allow AI to thrive within all our enterprises.
HEADLINER: Learning to edit software with relational deep learning10:35
DANNY TARLOW

Research Scientist, Google Brain
Adjunct Professor in Computer Science,
McGill University
Associate Member, Mila Quebec AI Institute

 

DANNY TARLOW

Research Scientist, Google Brain
Adjunct Professor in Computer Science,
McGill University
Associate Member, Mila Quebec AI Institute

 

HEADLINER: Learning to edit software with relational deep learning

Where: Main Stage
When: 10:35 - 11:00
We are collecting incredible amounts of data from professional software developers doing their jobs. Can we leverage this data to make developing software easier? Recent advances in deep learning---particularly around "relational deep learning" methods that can process irregular, graph-structured data---are giving us a powerful new toolbox to tackle the hard problems in this space. Danny will describe how we're leveraging these tools to build systems that learn to edit professional developer code in order to resolve small programming errors. He’ll also discuss broader outlooks for where this research area is going and point out some really hard problems in this space for which we don't currently have good answers.
REFRESHMENTS & NETWORKING 11:00

REFRESHMENTS & NETWORKING

When: 11:00 - 11:30
HEADLINER: Towards understanding why deep learning works11:30
SAMY BENGIO

SAMY BENGIO
Distinguished Research Scientist
Google Research, Brain Team

SAMY BENGIO

SAMY BENGIO
Distinguished Research Scientist
Google Research, Brain Team

HEADLINER: Towards understanding why deep learning works

Where: Main Stage
When: 11:30 - 11:55
Deep learning has shown incredible successes in the past few years, but there is still a lot of work remaining in order to understand why such over-parameterized models still generalize so well. In this presentation, Samy will cover recent work showing empirically interesting relations between learned internal representations and generalization. .
PANEL DISCUSSION: Governing AI: putting principles into practice11:55
YANNICK MENECEUR | JANA NOVOHRADSKA | MINA J HANNA

YANNICK MENECEUR
Policy Advisor on Digital Transformation and Artificial Intelligence
The Council of Europe

|

JANA NOVOHRADSKA
AI Consultant to Deputy Prime Minister’s Office of Slovakia;
Gender Equality Rapporteur CAHAI Council of Europe

|
MODERATOR

MINA J HANNA
Co-Chair, IEEE-SA Global Initiative on Ethics of AI Systems’ Policy Cmte;
Chair IEEE-USA AI & AS Policy Cmte

YANNICK MENECEUR

YANNICK MENECEUR
Policy Advisor on Digital Transformation and Artificial Intelligence
The Council of Europe

JANA NOVOHRADSKA

JANA NOVOHRADSKA
AI Consultant to Deputy Prime Minister’s Office of Slovakia;
Gender Equality Rapporteur CAHAI Council of Europe

MINA J HANNA
MODERATOR

MINA J HANNA
Co-Chair, IEEE-SA Global Initiative on Ethics of AI Systems’ Policy Cmte;
Chair IEEE-USA AI & AS Policy Cmte

PANEL DISCUSSION: Governing AI: putting principles into practice

Where: Main Stage
When: 11:55 - 12:30
LUNCH & NETWORKING 12:30

LUNCH & NETWORKING

When: 12:30 - 14:05
Enterprise Story 2: Applied AI across the Energy Industry14:25
DEVAL PANDYA

DEVAL PANDYA
Lead Data Scientist – Digital Accelerators
Shell

DEVAL PANDYA

DEVAL PANDYA
Lead Data Scientist – Digital Accelerators
Shell

Enterprise Story 2: Applied AI across the Energy Industry

Where: Main Stage
When: 14:25 - 14:45
Enterprise Story 1: Using AI to address climate change - two use cases14:05
ALEXIS HANNART
ALEXIS HANNART

Enterprise Story 1: Using AI to address climate change - two use cases

Where: Main Stage
When: 14:05 - 14:25
Enterprise Story 3: Transforming the senior care industry using Service Robots14:45
RAMI WEHBE
RAMI WEHBE

Enterprise Story 3: Transforming the senior care industry using Service Robots

When: 14:45 - 15:05
The aging part of the world’s population is growing at an unprecedented rate, widening the gap between the number of elderly people, and available facilities and professional caregivers. Studies show that senior citizens who use robots demonstrate improved life function ability, especially  in areas of communication, self-care and social interaction. Rami explains how these robots can enhance the experience in senior home facilities, assisting the ageing population of the world in numerous ways: as social companions for entertainment, mobile vending carts for door-to-door meals, voice-enabled assistants for ease of communication, and as part of a security and emergency response team.
PANEL DISCUSSION: Banking on AI – how AI is impacting the financial services sector15:05
JOSE MURILLO | HAYDAR TALIB | ZEMFIRA KHISAEVA | ASHEE SARIN | AMANDA PARKER

JOSE MURILLO
Chief Analytics Officer
Grupo Financiero Banorte

|

Cloud and AI Product Manager- Security and Biometrics
Nuance Communications

|

Vice President, Technology and Enterprise Strategy

Scotiabank

|
JOSE MURILLO

JOSE MURILLO
Chief Analytics Officer
Grupo Financiero Banorte

HAYDAR TALIB

Cloud and AI Product Manager- Security and Biometrics
Nuance Communications

ZEMFIRA KHISAEVA

Vice President, Technology and Enterprise Strategy

Scotiabank

ASHEE SARIN
AMANDA PARKER

PANEL DISCUSSION: Banking on AI – how AI is impacting the financial services sector

When: 15:05 - 15:35
REFRESHMENTS & NETWORKING 15:35

REFRESHMENTS & NETWORKING

When: 15:35 - 16:00
PRESENTATION: Fighting AI bias16:00
AUDREY BOGUCHWAL
AUDREY BOGUCHWAL

PRESENTATION: Fighting AI bias

When: 16:00 - 16:20
Training data is the lifeblood of AI. Without it, computers couldn’t be trained to see, speak, or perform any intelligent functions. Yet, so much of the training data used today is difficult to obtain and low-quality, ultimately resulting in algorithms that don’t work as desired and exhibit strong cases of bias. As more and more businesses develop their own machine learning algorithms, how can they ensure that their training data is high-quality and well-rounded while being delivered in a secure way? In this rapid fire session, learn how top organizations obtain superior quality training data without compromising privacy or security -- and how it’s possible to make positive social impact along the way.
PANEL DISCUSSION: What does it take for humans to trust AI?16:20
BRIAN CANTWELL SMITH | TOBIAS REES | YVES BOUSSEMART | AJUNG MOON | FIONA MCEVOY

Reid Hoffman Professor of Artificial Intelligence and the Human
University of Toronto

|

Founding Director, Transformations of the Human Program, Berggruen Institute
Reid Hoffman Professor of Humanities
The New School

|

Head of QuantumBlack Canada
QuantumBlack

|

Assistant Professor (ECE)
McGill University

|

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

BRIAN CANTWELL SMITH

Reid Hoffman Professor of Artificial Intelligence and the Human
University of Toronto

TOBIAS REES

Founding Director, Transformations of the Human Program, Berggruen Institute
Reid Hoffman Professor of Humanities
The New School

YVES BOUSSEMART

Head of QuantumBlack Canada
QuantumBlack

AJUNG MOON

Assistant Professor (ECE)
McGill University

FIONA MCEVOY

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

PANEL DISCUSSION: What does it take for humans to trust AI?

Where: Main Stage
When: 16:20 - 16:40
  • Should humans trust AI? Why is this important?
  • Where are currently AI systems losing trust? Can you give an example of how AI can get it wrong?
  • Can we train AI to share human values? Which kinds of values?
  • Are tech companies currently doing enough to ensure systems are fair and unbiased? What's the role of government? 
  • How does trust apply in a context where systems have been weaponized (e.g. deepfakes)?
  • The ethics conversation has become mainstream in recent years. To what extent should we be wary of "ethics washing'? (And what is it?)
PANEL DISCUSSION: What will the increasing use of AI for profiling and tracking mean for privacy and bias?16:40
FIONA MCEVOY | ALICE XIANG | FLORIAN MARTIN- BARITEAU | SEAN PERRYMAN | JAY STANLEY | MONA WANG

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

|

ALICE XIANG
Research Scientist
Partnership on AI

|

Professor in the Faculty of Law, Common Law Section & Director of the University of Ottawa Centre for Law, Technology and Society
University of Ottawa Centre for Law, Technology and Society

|

Director of Social Impact Policy and Counsel
The Internet Association

|
Senior Policy Analyst
ALCU
|
Staff Technologist
Electronic Frontier Foundation
FIONA MCEVOY

MODERATOR/CHAIR

Tech Ethics Researcher/ Writer & Founder
YouTheData.com

ALICE XIANG

ALICE XIANG
Research Scientist
Partnership on AI

FLORIAN MARTIN- BARITEAU

Professor in the Faculty of Law, Common Law Section & Director of the University of Ottawa Centre for Law, Technology and Society
University of Ottawa Centre for Law, Technology and Society

SEAN PERRYMAN

Director of Social Impact Policy and Counsel
The Internet Association

JAY STANLEY
Senior Policy Analyst
ALCU
MONA WANG
Staff Technologist
Electronic Frontier Foundation

PANEL DISCUSSION: What will the increasing use of AI for profiling and tracking mean for privacy and bias?

Where: Main Stage
When: 16:40 - 17:20
  • Which technologies should we be most concerned about? How are they being used?
  • Is all AI surveillance intrusive? 
  • Predictive systems are being used by the police and judiciary. Given what we know about the potential for algorithmic bias, how can we make sure these systems are fair?
  • Where else could bias creep in when it comes to profiling & tracking systems?
  • Should there be a blanket ban on facial recognition technology? Or does it have its place?
  • Technology is now being used to read our expressions. Is this "mind reading" technology reliable? What are the dangers? 
  • What about the cases where we consentingly and proactively hand over private information - like with the fashion for DNA testing? Does the transactional nature of the exchange legitimize the loss of privacy? 
  • What's  the role of government? Do we need stronger regulation to protect privacy and eliminate bias in decision-making systems?
CLOSE OF SUMMIT DAY ONE 17:20

CLOSE OF SUMMIT DAY ONE

When: 17:20 - 17:30

REGISTRATION OPENS 8.00

09:00 09:1509:3009:4510:0010:1510:3010:4511:0011:1511:3011:4512:0012:1512:3012:4513:0013:1513:3013:4514:0014:1514:3014:4515:0015:1515:3015:4516:0016:1516:3016:4517:0017:15
HEADLINER: How humans judge machines09:00
CESAR A. HILDAGO

CESAR A. HILDAGO
ANITI Chair, University of Toulouse;
Founder & CEO, Datawheel
University of Toulouse

CESAR A. HILDAGO

CESAR A. HILDAGO
ANITI Chair, University of Toulouse;
Founder & CEO, Datawheel
University of Toulouse

HEADLINER: How humans judge machines

Where: Main Stage
When: 09:00 - 09:30
Do we judge humans and machines equally? Or are our judgments biased depending on who or what is performing an action? Do we judge humans and machines equally? Or are our judgments biased depending on who or what is performing an action? In this presentation Cesar summarizes dozens of experiments designed to compare people's judgments of humans and machines across a variety of situations: from algorithmic bias in hiring decisions, to autonomous weapons, self-driving vehicles, and labor displacement. We use these experiments to explore how people's bias varies with a scenario's moral dimensions and with the demographic characteristics of those evaluating them. Together, these results provide a fine-grained understanding of when we are biased in favor or against machines, and what are the factors that help explain these biases.
HEADLINER: Machine Learning workflow with Amazon Sagemaker09:30
JONATHAN DION | SAEED AGHABOZORGI

Senior Technical Evangelist
Amazon Web Services (AWS)

|

Sr. Solutions Architect – Machine Learning Specialist
Amazon Web Services (AWS)

JONATHAN DION

Senior Technical Evangelist
Amazon Web Services (AWS)

SAEED AGHABOZORGI

Sr. Solutions Architect – Machine Learning Specialist
Amazon Web Services (AWS)

HEADLINER: Machine Learning workflow with Amazon Sagemaker

Where: Main Stage
When: 09:30 - 10:00
Traditional machine learning (ML) development is a complex, expensive, and iterative process made even more difficult because of the lack of integrated tools connecting the entire ML workflow. Users often need to stitch together tools and workflows, which is time-consuming and error-prone. Amazon SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. In this session, you learn about all of the different services within SageMaker that allow you to build, train, optimize and deploy a model ready for production. You will walk away with an understanding of how you can remove the complexity and barriers that typically slow down developers using machine learning.
REFRESHMENTS & NETWORKING 10:00

REFRESHMENTS & NETWORKING

When: 10:00 - 10:45
PANEL DISCUSSION: Creating AI for social good10:45
CAITRIN ARMSTRONG | CARA JONES | EVAN HENRY | YANG WANG | NEAMA DADKHAHNIKOO
MODERATOR
Technical Lead
AI XPRIZE
CAITRIN ARMSTRONG
CARA JONES
EVAN HENRY
YANG WANG
NEAMA DADKHAHNIKOO
MODERATOR
Technical Lead
AI XPRIZE

PANEL DISCUSSION: Creating AI for social good

When: 10:45 - 11:20
Four teams from the $5 million IBM Watson AI XPRIZE discuss how they are using AI to create social good. From precision beekeeping to personalized mental health treatment, digital identity for infants to combatting sex trafficking, the teams discuss how they leverage AI to improve human performance, gather data where it does not exist, and demonstrate concrete proof points of AI for Good in action.  
SOLO PRESENTATION: Creating AI for social good11:20
DR SUJOY KAR

Chief Medical Information Officer & Vice President
Apollo Hospitals

DR SUJOY KAR

Chief Medical Information Officer & Vice President
Apollo Hospitals

SOLO PRESENTATION: Creating AI for social good

When: 11:20 - 11:30
Sujoy will be sharing the research he has been carrying out in two areas using AI. Firstly, detecting cardio-vascular diseases through the use of a Cardiovascular Risk Assessment Tool which can help physicians identify the global/holistic risk for patients and lay down a structured roadmap to reduce the risk. Secondly, Sujoy explains the AI-based Care Pathway Design (CHIP) for individuals at risk of acute exacerbation of COPD and chronic respiratory diseases and how he’s using risk regression and probabilistic methods for risk stratification, and integrating medication use and the air quality index to define clinical pathways and packages.
LUNCH & NETWORKING 12:05

LUNCH & NETWORKING

When: 12:05 - 13:15
PANEL DISCUSSION: The implementation of an ethical framework11:30
CONSTANZA GOMEZ MONT | JOHN HAVENS | AJUNG MOON | ASHLEY CASOVAN

CONSTANZA GOMEZ MONT
Founder and CEO
C Minds

|

JOHN HAVENS
Executive Director, The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
IEEE

|

Assistant Professor (ECE)
McGill University

|
CONSTANZA GOMEZ MONT

CONSTANZA GOMEZ MONT
Founder and CEO
C Minds

JOHN HAVENS

JOHN HAVENS
Executive Director, The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
IEEE

AJUNG MOON

Assistant Professor (ECE)
McGill University

ASHLEY CASOVAN

PANEL DISCUSSION: The implementation of an ethical framework

When: 11:30 - 12:05
We’ve seen an explosion of AI ethics principles and guidelines published in the past three years but some say that these activities are merely ethics washing, and none are really implemented or implementable. At the same time, the industry does seem to be interested in taking real action, such as hiring so-called AI ethicists. This panel will explore what is actually being done and what key challenges we need to tackle in implementing ethical frameworks.
PRESENTATION: Chatbots and Conversational AI: Transforming Business Efficiency13:15
DEREK ROBERTI
DEREK ROBERTI

PRESENTATION: Chatbots and Conversational AI: Transforming Business Efficiency

Where: Main Stage
When: 13:15 - 13:35
Businesses of all sizes are paying the price for under-investment in automation technologies. With an inability to scale and provide the best possible customer experience, decision makers are starting to see that now is the time for change and conversational AI is the best place to start. Learn how conversational AI enables businesses to transform their operations and drive greater efficiency. Hear how a global manufacturer that was handling 95% of support inquiries through human agents revolutionized their operations and dramatically decreased their costs by implementing an omni-channel, virtual agent strategy. Explore solutions that can enable your business to provide faster, friendly, more accurate information to employees and customers, while reducing costs and accelerating satisfaction.
Startup Story: TypingDNA13:45
RAUL POPA

RAUL POPA
CEO, Co-Founder & Data Scientist
TypingDNA

RAUL POPA

RAUL POPA
CEO, Co-Founder & Data Scientist
TypingDNA

Startup Story: TypingDNA

When: 13:45 - 14:00
Startup Story: BrainBox AI: Pushing the energy efficient frontier with AI13:15
JEAN-SIMON VENNE

JEAN-SIMON VENNE
Co-Founder & CTO
BrainBox AI

JEAN-SIMON VENNE

JEAN-SIMON VENNE
Co-Founder & CTO
BrainBox AI

Startup Story: BrainBox AI: Pushing the energy efficient frontier with AI

When: 13:15 - 13:45
BrainBox AI utilizes self-adapting artificial intelligence technology to proactively optimize the energy consumption of one of the largest climate change contributors: Buildings. Located in Montreal, Canada, their team is comprised of experts in the fields of AI, data science, real estate, HVAC and energy efficiency. Their  AI engine supports a self-operating building that requires no human intervention. Using deep learning, cloud-based computing, and their proprietary process, their solution autonomously optimizes existing Heating, Ventilation, and Air Conditioning (HVAC) control systems for maximum impact on energy consumption.
Startup Story: Qumulo14:00
PASCAL FILION | CESAR FETIVEAU
PASCAL FILION
CESAR FETIVEAU

Startup Story: Qumulo

When: 14:00 - 14:15
Qumulo is a Seattle-based enterprise data storage startup. They believe that storage should be simple, scalable, and efficient. Formed in 2012 by leaders from Isilon Systems, Adobe, and Wily Technology, Qumulo is reimagining enterprise storage. Their software is a distributed hybrid cloud file system, developed to offer flexibility, which runs on industry standard hardware and natively in the cloud. 
Tech Talk 1: Using Artificial Intelligence to predict Exoplanetary Atmospheres using data from Space Telescopes14:15
ARTASH NATH

ARTASH NATH
Co-Founder
HotPopRobot.com

ARTASH NATH

ARTASH NATH
Co-Founder
HotPopRobot.com

Tech Talk 1: Using Artificial Intelligence to predict Exoplanetary Atmospheres using data from Space Telescopes

When: 14:15 - 14:35
A Grade 8 student, Artash has been working at the interface of space, robotics and artificial intelligence for the last few years. He is interested in deep space exploration and has been applying machine learning models to space challenges, including - predicting risk index of an asteroid collision with Earth and detecting atmospheres of exoplanets using simulated data from space telescopes. His ongoing project is on creating curious and intelligent machines that learn by being placed in an immersive environment. They make efforts to understand cause and effect and are not hesitant to ask “why”.
Tech Talk 2: Building an AI-powered IT infrastructure14:35
RAMPRAKASH RAMAMOORTHY
Product Director AI
ManageEngine
RAMPRAKASH RAMAMOORTHY
Product Director AI
ManageEngine

Tech Talk 2: Building an AI-powered IT infrastructure

When: 14:35 - 14:55
Ramprakash will give a presentation focused around shipping features to enterprise users at scale, and managing them effectively to make sure the models are relevant in the longer run.
Tech Talk 3: Valohai 14:55

Tech Talk 3: Valohai

Where: Main Stage
When: 14:55 - 15:15
REFRESHMENTS & NETWORKING 15:15

REFRESHMENTS & NETWORKING

When: 15:15 - 15:45
CLOSING HEADLINER: Connecting the global workforce with AI15:45
DEEPAK AGARWAL

DEEPAK AGARWAL
VP of Engineering
LinkedIn

DEEPAK AGARWAL

DEEPAK AGARWAL
VP of Engineering
LinkedIn

CLOSING HEADLINER: Connecting the global workforce with AI

Where: Main Stage
When: 15:45 - 16:10
In a world inundated with data, AI and machine learning are indispensable for making sense of the data we have at scale. LinkedIn has built the Economic Graph, a digital representation of the global economy made up of over 660 million members, 36 thousand skills, 30 million companies, 20 million open jobs, and 90 thousand schools. To use this data to connect people to economic opportunity, AI is woven into the platform to improve every aspect of the member experience. Whether you want to look for your next play, expand your network, or simply stay informed on your industry, AI makes these experiences more personalized, powerful, and relevant. This presentation will share how AI is used at LinkedIn to help the world’s professionals be more productive and successful.
CLOSING HEADLINER: Using AI to Tackle Climate Change16:10
SASHA LUCCIONI
Director of Scientific Projects and Postdoctoral Researcher
Mila AI Institute
SASHA LUCCIONI
Director of Scientific Projects and Postdoctoral Researcher
Mila AI Institute

CLOSING HEADLINER: Using AI to Tackle Climate Change

Where: Main Stage
When: 16:10 - 16:35
Climate change is one of the greatest challenges society has ever faced, and its consequences are becoming increasingly present and overwhelming, as natural disasters multiply, sea levels rise, and ecosystems falter. While no silver bullet, machine learning can be an invaluable tool in fighting climate change, both in terms of mitigation and adaptation. Sasha will present some of the existing solutions as well as those that have yet to be proposed, as well as opportunities in terms of research and commercialization in this game-changing space.  
CLOSING HEADLINER: AI: from Social Good to Ambient Intelligence16:35
YOSSI MATIAS

YOSSI MATIAS
Vice President, Engineering
Google

YOSSI MATIAS

YOSSI MATIAS
Vice President, Engineering
Google

CLOSING HEADLINER: AI: from Social Good to Ambient Intelligence

When: 16:35 - 17:00
This session will highlight how AI can be helpful in addressing societal problems in a range of areas, and how Conversational AI can be transformative in removing barriers of modality and languages and impact how people can interact with technology and with each other. For further information, please see Yossi’s closing talk at Google’s AI for Impact Challenge program just a few weeks ago https://youtu.be/GMJKKqI0MqU
CLOSE OF WSAI AMERICAS 17:00

CLOSE OF WSAI AMERICAS

When: 17:00 - 17:10

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