Programme

World Summit AI Americas 

04 – 05 May 2022

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  • Wednesday 04th
  • 07:30 - 09:00
    REGISTRATION
  • 09:00 - 09:05
    WELCOME Inspired Minds Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS Plenary
    • Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS

  • 09:05 - 09:10
    WELCOME to Montréal Luc Rabouin, Borough Mayor, City of Montréal Plenary
    • Luc Rabouin, Borough Mayor, City of Montréal

  • 09:10 - 09:20
    WELCOME and chairperson’s opening remarks Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com Plenary
    • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:20 - 09:45
    HEADLINER The AI Safety Mindset Cassie Kozyrkov, Chief Decision Scientist, Google Plenary

    Machine learning and artificial intelligence are no longer science fiction, but what does it take to harness their potential effectively, responsibly, and reliably? This talk gives you actionable advice based on lessons learned at Google that will help you adopt an AI safety mindset.

    • Cassie Kozyrkov, Chief Decision Scientist, Google

  • 09:45 - 10:10
    HEADLINER How can your enterprise best join in the AI revolution? Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture Plenary

    This talk will provide you insights on how to apply and scale AI within your organization to add value to your business. When you scale AI, completely new outcomes are possible. The important question is: how do you do it? You will learn what strategies to consider and hear how different businesses are applying AI and making decisions.

    • Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture

  • 10:10 - 10:40
    REFRESHMENTS, NETWORKING AND MEET UP
  • WORLD SUMMIT AI PLENARY: Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 10:40 - 11:15
      PANEL DISCUSSION Addressing ethical conflict: How do we balance the pursuit of innovative AI systems with a greater consideration of social responsibility? Betsy Greytok, Vice President, Ethics & Policy, IBM
      Alice Xiang, Senior Research Scientist (AI Ethics Lead), Sony AI; Head of AI Ethics Office, Sony Group Corporation
      Elena Fersman, VP, Global AI Accelerator, Ericsson
      Moderator: Kenny Chen, Co-Founder, Partnership to Advance Responsible Technology
      • Maximizing opportunities and minimizing harms
      • Creating a culture of good tech ethics
      • Does utilising ‘ethics by design’ offer a panacea?
      • Policing emerging tech frontiers
      • Betsy Greytok, Vice President, Ethics & Policy, IBM

      • Alice Xiang, Senior Research Scientist (AI Ethics Lead), Sony AI; Head of AI Ethics Office, Sony Group Corporation

      • Elena Fersman, VP, Global AI Accelerator, Ericsson

      • Moderator: Kenny Chen, Co-Founder, Partnership to Advance Responsible Technology

    • 11:15 - 11:35
      HEADLINER Algorithmic auditing- can testing, monitoring and public oversight refine technology to create a more diverse and equitable world? Renée Cummings, Data Activist in Residence, University of Virginia
      • Renée Cummings, Data Activist in Residence, University of Virginia

    • 11:35 - 12:15
      PANEL DISCUSSION Does the proposed EU Artificial Intelligence Act provide a regulatory framework for AI that should be adopted globally? Mauritz Kop, TTLF Fellow, Stanford Law School, Stanford University
      Professor Gillian Hadfield, Director, Schwartz Reisman Institute for Technology and Society (SRI), University of Toronto
      Dr José-Marie Griffiths, Former Commissioner, National Security Commission on Artificial Intelligence; President, Dakota State University in Madison
      Moderator: Meredith Broadbent, Former Chairman of the U.S. International Trade Commission; Senior Adviser (non-resident), Scholl Chair in International Business, Center for Strategic and International Studies, Washington, D.C
      • Mauritz Kop, TTLF Fellow, Stanford Law School, Stanford University

      • Professor Gillian Hadfield, Director, Schwartz Reisman Institute for Technology and Society (SRI), University of Toronto

      • Dr José-Marie Griffiths, Former Commissioner, National Security Commission on Artificial Intelligence; President, Dakota State University in Madison

      • Moderator: Meredith Broadbent, Former Chairman of the U.S. International Trade Commission; Senior Adviser (non-resident), Scholl Chair in International Business, Center for Strategic and International Studies, Washington, D.C

  • TRACK 1: AI IN ACTION Enterprise Stories Going beyond the buzz and hype, real-life use cases from the top AI brains in enterprise and big tech, explaining how AI is redefining their business paradigms, why and how they are successfully implementing AI, the hurdles and challenges they face, and the resultant impact on their business. Chair: Ashley Casovan, Executive Director, Responsible AI Institute
    • 10:40 - 11:00
      AI IN ACTION: USE CASE AI to Re-strategize the Supply Chain Operations at a fast-food restaurant giant Anshika Khandelwal, Associate Technical Architect, Quantiphi

      Susceptible to highly volatile demand patterns, fast food restaurants run on thin profit margins. Especially during an unforeseen event such as a pandemic, the demand patterns vary widely across store locations as well as online platforms and applications. For instance, they need to minimize food waste, plan effectively for special events, maintain safety stock, and follow lean production schedules. This session will help you solve these large-scale business problems at a QSR using the combination of ML and DL models hosted on serverless cloud platforms. Along with the architectural insights of training, deploying, and maintaining ML solutions at an enterprise scale, you will learn how you can obtain and manage information such as spending analytics, individual item performance, seasonality analysis, revenue, and demand forecasts to derive valuable business insights .

      • Anshika Khandelwal, Associate Technical Architect, Quantiphi

    • 11:00 - 11:20
      AI IN ACTION: USE CASE Computer vision built for the real world: case studies on automated, in-depth model testing and data augmentation Patrick St Amant, Co-Founder, CTO, Inventor, Zetane Systems

      Computer vision (CV) solutions that have exceptional performance under controlled

      conditions are often prone to failure when operating in real-world environments. Known as a deficiency of “robustness”, common environmental and operating conditions like fog, blur due to mechanical vibration and changes in lighting can cause CV to fail or underperform.

      Here we present case studies on how to produce more robust CV based on our efforts with clients in industries ranging from security to civic infrastructure. Our solution is a new, online

      data SaaS platform that provides detailed analytics of operating risks and weaknesses in

      datasets used to train CV models, which in turn provides definitive guidance on how to

      improve data and models for CV applied in industrial settings.

      • Patrick St Amant, Co-Founder, CTO, Inventor, Zetane Systems

    • 11:20 - 11:40
      AI IN ACTION: USE CASE Enabling cognitive automation for healthy workspaces using robotics and IoT Rami Wehbe, CTO and Co-Founder, GlobalDWS
      • Rami Wehbe, CTO and Co-Founder, GlobalDWS

    • 11:40 - 12:10
      PANEL DISCUSSION Building resilient AI in an era of frequent perturbations Panellists: Maxime Cohen, Scale AI Chair in Data Science for Retail, Professor & Co-Director Retail Innovation Lab, McGill University
      Marie-Claude Côté, Head of Data Science, Ivado Labs
      Daniel Lavinskas, Head of Analytics & AI CoE , BRP
      Moderator: Serge Massicotte, CEO, Ivado Labs
      • Panellists: Maxime Cohen, Scale AI Chair in Data Science for Retail, Professor & Co-Director Retail Innovation Lab, McGill University

      • Marie-Claude Côté, Head of Data Science, Ivado Labs

      • Daniel Lavinskas, Head of Analytics & AI CoE , BRP

      • Moderator: Serge Massicotte, CEO, Ivado Labs

  • TRACK 2: T-30 SUMMIT Focusing on plans to map a possible path for what this decade could achieve by utilising existing and emerging technology and working on solutions that moonshot the way forward with impact to reshape the world and map a better, more impactful path to 2030 and beyond. Chair: Deval Pandya, Director of AI Engineering, Vector Institute; Member of task force for Digitalisation of Energy, UN Economic Commission of Europe
    • 10:40 - 11:00
      HEADLINER Technology for Social Impact: The 50 Breakthroughs to solve the biggest social and environmental challenges affecting the global poor Noha El-Ghobashy, CEO, Institute for Transformative Technologies
      • Noha El-Ghobashy, CEO, Institute for Transformative Technologies

    • 11:00 - 11:20
      USE CASE Saving Rainforests with AI-Powered Acoustic Data Intelligence Topher White, CEO and Founder, Rainforest Connection
      • Topher White, CEO and Founder, Rainforest Connection

    • 11:20 - 11:40
      USE CASE Québec: a strong and mature AI ecosystem powered by green energy Marie-Paule Jeansonne, President and CEO, Forum AI
      Sarah Larose, Director, Foreign Direct Investments, Investissement Québec

      Quebec has become a global hub for artificial intelligence; our ecosystem stands out advantageously, attracting renowned companies and researchers. Several world leaders such as Google, Facebook and Microsoft have opened research laboratories in Montreal.

      Early on, Quebec recognized the importance of ethical and responsible A,I and work is focused on studies and projects to maximize the positive impacts of AI, while minimizing its negative impacts.This conversation will address the ecological impact of AI, mainly the fact that digital technologies consume a lot of energy. However, with its main energy source being hydroelectricity, Québec is proud to offer 99% clean energy.

      • Marie-Paule Jeansonne, President and CEO, Forum AI

      • Sarah Larose, Director, Foreign Direct Investments, Investissement Québec

    • 11:40 - 12:00
      USE CASE AI to help us feed a better world Yves Daoust, Founder and CTO, Ferme d’Hiver

      Winter Farm is a dynamic Quebec company created in 2018. It combines traditional agricultural knowledge, innovative engineering approaches and artificial intelligence-based automation to ensure a local off-season supply of fresh, tasty, chemical-free, and affordable fruits and vegetables. Join us to learn how its plant and data-centric design will enable building a network of interconnected intelligent farms that will deliver production on the industrial scale to feed a better world.

      • Yves Daoust, Founder and CTO, Ferme d’Hiver

    • 12:00 - 12:20
      USE CASE Physics-informed machine learning for wildfire prediction Hunter Connell, Co-founder; CEO, Terrafuse AI

      As climate change ensues, extreme climate events are increasing 100% each decade- in the 80s there were 30 billion-dollar disasters and in the last decade there have been 130 billion-dollar disasters. This is particularly apparent with wildfire, which is levelling communities around the western US, Canada, and Australia. As a result, insurers are throwing up their hands- refusing to underwrite huge areas with dense populations- so people can’t get insurance and come back to their communities to rebuild after their homes burn down. Terrafuse AI harnesses trillions of earth data observations at every property to predict exactly where wildfires occur so that insurance companies can underwrite 40% more of the population and avoid 80% of all loss that they are otherwise experiencing.

      • Hunter Connell, Co-founder; CEO, Terrafuse AI

  • 12:15 - 13:15
    LUNCH AND NETWORKING
  • WORLD SUMMIT AI PLENARY: Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 13:15 - 13:35
      AI IN ACTION: ENTERPRISE STORY AI in the Rail Industry; Past, Present and Future Dominique Malenfant, Executive Vice President & Chief Information & Technology Officer, CN

      Run on steel, powered by AI. Welcome to the railroad of the future.

      Our AI journey starts with a series of challenging problems to solve. The rail industry is critical for all developed economies around the globe, but faces many challenges – what role does new technology play as a solution?

      Join Dominique for a fast-paced discussion on CN’s technology vision and how AI will accelerate the reliability and efficiency of our operations, feed and expand our rail network and drive innovation to help our customers win in their markets. We talk challenges, mindset, embracing experimental thinking and pulling together as a team to build the railway of the 21st century – Digital Scheduled Railroading.

      • Dominique Malenfant, Executive Vice President & Chief Information & Technology Officer, CN

    • 13:35 - 13:55
      KEYNOTE AI IN ACTION: ENTERPRISE STORY Using Super-App Alternative Data to estimate Risk Dr. Alejandro Correa Bahnsen, Chief Artificial Intelligence Officer, RappiBank

      The presence of Super-Apps have changed the way we think about the interactions between users and commerce. It then comes as no surprise that it is also redefining the way banking is done. In this talk, we will discuss how different interactions between users within a Super-App provide a new source of information to predict borrower behaviour

      • Dr. Alejandro Correa Bahnsen, Chief Artificial Intelligence Officer, RappiBank

    • 13:55 - 14:15
      AI IN ACTION: ENTERPRISE STORY Elastic Capacity - from Computing to Trucking Dorothy Li, Chief Technology Officer, Convoy

      Elastic Computing has revolutionized the way the world does business, moving us from expensive on-premise asset infrastructure to the on-demand elastic capacity of the cloud. A similar shift is happening in trucking with Convoy leading the charge. As the world faces supply chain chaos like never before, new solutions, powered by scientific methods such as machine learning & optimization along with automation & scale provide a path to transporting the world with endless capacity and zero waste. Hear from a leader that was part of the first revolution, and now is helping lead another.

      • Dorothy Li, Chief Technology Officer, Convoy

    • 14:15 - 14:35
      HEADLINER Thriving in the Age of the Unexpected with Data and AI Mike Gilfix, Vice President of Product Management, IBM Data and AI, IBM

      Companies still find themselves navigating external forces that are largely out of their control— labor disruptions, supply chain shortages, inflation, and increased regulation. For companies to thrive in this ever-changing world, AI isn’t just a priority, it’s mandatory. The problem is, while everyone wants to leverage data and AI to create customer loyalty, automate business processes, and navigate future disruptions, the demand for data has outpaced our ability to solve our existing data problems. Mike will be discussing why companies need a trusted approach to connect the right data, to the right people, at the right time to put AI to work.

      • Mike Gilfix, Vice President of Product Management, IBM Data and AI, IBM

    • 14:35 - 14:55
      HEADLINER Moving towards data-centric AI, even if your data is imperfect Carolina Bessega, Chief Product Officer & Co-Founder, Stradigi AI

      It’s easy to agree that data is the fuel that drives AI innovation. However, traditional AI applications have centered around the technical aspects of developing and managing models. But with the increasing  availability of easy-to-use AI software, autoML, and MLOps tools, there is a growing trend toward data-centered AI. This approach puts the spotlight on data readiness, with an emphasis on the adoption of systematic approaches for data preparation and governance. Join Carolina Bessega, Chief Product Officer at Stradigi AI, as she shares practical insights on data readiness, including how much data you need to get started, approaches to data processing, and strategies for working with imperfect data

      • Carolina Bessega, Chief Product Officer & Co-Founder, Stradigi AI

    • 14:55 - 15:15
      DEEP DIVE TECH TALK Privacy-preserving AI and the future of EdTech Davood Shamsi, Senior Engineering Manager, Optimization, ML/AI, Apple

      AI is on the verge of revolutionizing humans’ learning, a multi trillion dollar market which expands from early childhood to adulthood. While the Internet made educational content widely available, AI would help you to choose the right content at the right time to optimize your learning experience. With recent advances in NLP, and computer vision, a true personalized and adaptive learning doesn’t sound far out of reach. However, there are significant hurdles such as data access, privacy and fairness that we need to overcome in the next decade. In this talk, Davood will focus on the technical aspect of privacy-preserving ML for education.

      • Davood Shamsi, Senior Engineering Manager, Optimization, ML/AI, Apple

  • TRACK 1: INNOVATION INSIGHTS Editorial picks of the agile technologists who are innovating at pace and creating entirely new models for AI application. Learn from the people who have done it before, the CEOs, founders and investors who can tell you how to navigate your startup. Chair: Ashley Casovan, Executive Director, Responsible AI Institute
    • 13:15 - 13:35
      START-UP STORY Music that Listens: How deep reinforcement learning can bring anecdotal healing practices into precision medicine Aaron Labbé, Co-Founder and Chief Technology Officer, LUCID

      From the earliest anthropological records of humankind, music has been a major aspect of our lives. Anecdotally, we have discovered countless ways to utilize sound and music for healing on individual and community levels. As a result, we formed practices like music therapy which show great promise in various medical indications – including pain, mental health indications, neurodegenerative disease, inflammation and even cancer. However, these practices have struggled to reach rigour and the burden of proof necessary to become primary treatment modalities in healthcare.

      Join Aaron Labbé as he walks you through the landscape of music for health and how the cutting edge machine learning technology being developed at LUCID can unlock its full therapeutic potential, providing safe and accessible treatments for patients living mental and neurological health challenges worldwide.

      • Aaron Labbé, Co-Founder and Chief Technology Officer, LUCID

    • 13:35 - 13:55
      INNOVATION INSIGHT It's time to start delivering high-quality ML models Olivier Blais, Co-Founder & Head of Decision Science, Moov AI

      How can we deliver high-level quality AI systems that meet business objectives and drive adoption? Olivier will share new approaches and tools to evaluate model quality that redefine how you deliver your ML models and AI systems

      • Olivier Blais, Co-Founder & Head of Decision Science, Moov AI

    • 13:55 - 14:15
      INNOVATION INSIGHT Innovations in Graph Analytics and Graph ML for Deeper Insights Victor Lee, Vice President of Machine Learning and AI, TigerGraph

      Advances in graph databases, graph analytics, and graph-based machine learning are enabling data scientists to break through previous limitations on the quality of their ML models. This talk will provide an overview of these advances and some key use cases, such as entity resolution, fraud detection, supply chain, logistics, and recommendation.

      • Victor Lee, Vice President of Machine Learning and AI, TigerGraph

    • 14:15 - 14:35
      INNOVATION INSIGHT PPM Framework: A New Algorithm Auditing Approach Michael Akinwumi, Chief Tech Equity Officer, National Fair Housing Alliance
      Snigdha Sharma, FAIR Ops Team Lead & Tech Equity Analyst, National Fair Housing Alliance

      The National Fair Housing Alliance (NFHA) has released a new structure for auditing algorithmic systems called Purpose Process and Monitoring (PPM) that captures the life cycle of a model – pre-development, development, and post-development, including monitoring. This framework provides an approach for evaluating internal controls and mitigating risks that may be inherent in algorithmic systems and harm consumers. NFHA’s PPM framework provides an equity-centered auditing solution at a time when policymakers and civil rights organizations are calling for fairness, accountability, transparency, explainability, and interpretability.

      • Michael Akinwumi, Chief Tech Equity Officer, National Fair Housing Alliance

      • Snigdha Sharma, FAIR Ops Team Lead & Tech Equity Analyst, National Fair Housing Alliance

    • 14:35 - 15:15
      PANEL DISCUSSION Ask the Investors: How to take your start-up to the next stage: What are investors looking for? Panellists: Eleonore Jarry, Principal, Brightspark
      George Korkejian, Director of Ventures, Next AI
      Benjamin Levy, Co-Founder and General Partner, BootstrapLabs
      Claude Theoret, CEO and Founder, XMachina
      Moderator: Ian Wooden, Managing Director & CEO, IJW & Co.Ltd

      The session brings together industry experts to look at the latest trends in investments. They’ll examine the best ways for startups to raise funding for growth in the current climate and explore what VC’s and investors look at when making investment decisions. Whether you are a fledgling startup or looking for backing to scale, this session is set to provide real insights into the mindset of investors and how you might approach them.

      • Panellists: Eleonore Jarry, Principal, Brightspark

      • George Korkejian, Director of Ventures, Next AI

      • Benjamin Levy, Co-Founder and General Partner, BootstrapLabs

      • Claude Theoret, CEO and Founder, XMachina

      • Moderator: Ian Wooden, Managing Director & CEO, IJW & Co.Ltd

  • TRACK 2: T-30 SUMMIT Focusing on plans to map a possible path for what this decade could achieve by utilising existing and emerging technology and working on solutions that moonshot the way forward with impact to reshape the world and map a better, more impactful path to 2030 and beyond. Chair: Deval Pandya, Director of AI Engineering, Vector Institute; Member of task force for Digitalisation of Energy, UN Economic Commission of Europe
    • 13:15 - 13:35
      HEADLINER Large Language Models: With Great Power Comes Great Responsibility Dr. Sasha Luccioni, Research Scientist, HuggingFace; Founding Member, Climate Change AI (CCAI)

      With the recent rise of large language models like BERT and GPT-3, spectacular progress has been made in tasks ranging from language understanding to dialog systems. But this progress comes with high costs in terms of data, compute and environmental impacts, and the resulting models belong to a select few organisations. In this talk, Dr Luccioni will discuss the impact that this has on the field of AI as a whole, and ways to ensure meaningful progress in AI while reducing its negative societal and environmental impacts.

      • Dr. Sasha Luccioni, Research Scientist, HuggingFace; Founding Member, Climate Change AI (CCAI)

    • 13:35 - 14:15
      PANEL DISCUSSION Managing energy for EV’s in Electricity grid with AI Systems Panellists: Patrick Lo – Senior Manager, Partnerships, Independent Electricity System Operator
      Raed Abdullah, Distribution Engineer-Special Projects, Hydro Ottawa
      Guillaume Herve – CEO and Co Founder, Zetane Systems
      Parag Datta – Head of Business Development - PowerON Energy Solutions
      Moderator: Devashish Paul, CEO and Founder, BluWave-ai

      Our panel dives into a key energy transition trend for 2022: the large proliferation of passenger EVs and electrified transport fleets and how this phenomenon is affecting operations of electricity grids, as these grids become the new “fueling stations.” Managing residential EV chargers and supplying fleet operators in the grid is complex from the utility side given grid capacity constraints. These operations require graceful charging management to avoid overloading the grid infrastructure. Transit and freight fleet operators are also trying to maximize EV miles serviced by offsetting diesel miles driven with their fleets to reduce emissions and operating costs. This requires fleet orchestration to manage these mixed fleets. Fleet orchestration coordinates disparate systems around fleet management including chargers, vehicles, depot energy management, solar generation, battery storage, real-time energy pricing, and weather. The panelists come from different parts of the ecosystem that are enabling both EV adoption, electricity network challenges and AI solutions

      • Panellists: Patrick Lo – Senior Manager, Partnerships, Independent Electricity System Operator

      • Raed Abdullah, Distribution Engineer-Special Projects, Hydro Ottawa

      • Guillaume Herve – CEO and Co Founder, Zetane Systems

      • Parag Datta – Head of Business Development - PowerON Energy Solutions

      • Moderator: Devashish Paul, CEO and Founder, BluWave-ai

    • 14:15 - 14:35
      HEADLINER Mission Impossible 2030 – Building a Sustainable Carbon Negative future with AI in Nuclear & Renewable Energy Industry Rahul Raina, Senior Data Scientist, Customer Success Unit, Microsoft Canada

      This session will share the lessons learned from Microsoft’s successful customer success engagements at Ontario Power Generation (OPG). By leveraging Azure AI Platform, OPG increased exports of its surplus clean energy from Canada to the USA. This energy trading solution has not only helped OPG to increase its revenue, but also offset millions of tonnes of CO2 while contributing to building a sustainable carbon negative future by 2030.

      • Rahul Raina, Senior Data Scientist, Customer Success Unit, Microsoft Canada

    • 14:35 - 15:15
      PANEL DISCUSSION Action-orientated innovations for sustainable outcomes Panellists: Markku Allison, VP Strategy & Innovation, Chandos Construction
      Alain Silverwood, Technical Director, Technology & Innovation Group, Evoqua Water Technologies
      Todd Coleman, Founder, President and CEO, eStruxture
      Moderator: Mélissa Marin, Managing Consultant, Sustainability, IBM
      • Panellists: Markku Allison, VP Strategy & Innovation, Chandos Construction

      • Alain Silverwood, Technical Director, Technology & Innovation Group, Evoqua Water Technologies

      • Todd Coleman, Founder, President and CEO, eStruxture

      • Moderator: Mélissa Marin, Managing Consultant, Sustainability, IBM

  • 15:15 - 15:45
    REFRESHMENTS AND NETWORKING
  • WORLD SUMMIT AI PLENARY: Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 15:45 - 16:20
      PANEL DISCUSSION How do successful leaders operationalise AI Samantha Samaras, Global Vice President Science & Technology, Beauty and Personal Care R&D, Unilever
      Dominique Malenfant, Executive Vice President & Chief Information & Technology Officer, CN
      Baiju Devani, Head of Machine Learning, TD Bank Group
      Moderator: Mike Gilfix, Vice President of Product Management, IBM Data and AI, IBM
      • Samantha Samaras, Global Vice President Science & Technology, Beauty and Personal Care R&D, Unilever

      • Dominique Malenfant, Executive Vice President & Chief Information & Technology Officer, CN

      • Baiju Devani, Head of Machine Learning, TD Bank Group

      • Moderator: Mike Gilfix, Vice President of Product Management, IBM Data and AI, IBM

  • TRACK 1: WORKSHOP
    • 15:45 - 16:45
      WORKSHOP Trustworthy AI: Do you trust your data, models and process? Workshop Hosts: Ainesh Pandey, Senior Data Scientist on IBM's Data Science Elite Team, IBM
      Courtney Branson, Data Scientist, Data Science & AI Elite, IBM Expert Labs, IBM
      Paul Hake, Principal Data Scientist, IBM Data Science and AI Elite Team, IBM

      With AI rapidly influencing most enterprise decision making, being able to trust the results of data science solutions has become a necessity, not just a priority. Trust in data, the models developed, and the entire AI lifecycle needs to be actively monitored, managed and governed. Come explore IBM’s approach to Trustworthy AI for your organization’s decision making process, through the journey of developing a credit risk solution for banking.

      • Workshop Hosts: Ainesh Pandey, Senior Data Scientist on IBM's Data Science Elite Team, IBM

      • Courtney Branson, Data Scientist, Data Science & AI Elite, IBM Expert Labs, IBM

      • Paul Hake, Principal Data Scientist, IBM Data Science and AI Elite Team, IBM

  • 16:20 - 16:45
    HEADLINER Why we need a curious AI for space exploration Dr. Steve Chien, Former NSCAI Commissioner; JPL Fellow; Senior Research Scientist in the Mission Planning and Execution Section, Technical Group Supervisor, Artificial Intelligence/Integrated Planning and Execution, Jet Propulsion Laboratory, California Institute of Technology/NASA

    How AI Engineering can scale the impact of mission capabilities

    • Dr. Steve Chien, Former NSCAI Commissioner; JPL Fellow; Senior Research Scientist in the Mission Planning and Execution Section, Technical Group Supervisor, Artificial Intelligence/Integrated Planning and Execution, Jet Propulsion Laboratory, California Institute of Technology/NASA

  • 16:45 - 16:50
    CLOSE OF SUMMIT DAY ONE
  • Thursday 05th
  • 08:00 - 09:00
    REGISTRATION
  • 09:00 - 09:10
    WELCOME InspiredMinds! Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS Plenary
    • Sarah Porter, CEO and Founder, InspiredMinds, UN Advisor LAWS

  • 09:10 - 09:20
    WELCOME and chairperson’s opening remarks Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com Plenary
    • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:20 - 10:25
    PLENARY: Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:20 - 10:00
    PANEL DISCUSSION: How will transformative technologies, such as artificial intelligence and genome-editing, raise new opportunities and challenges for health, security, economics and governance in different geo-political contexts? Panellists: Elizabeth M. Adams, Affiliate Fellow, Stanford Institute for Human-Centered Artificial Intelligence (HAI)
    Dr Catalina Lopez-Correa, Chief Scientific Officer, Genome Canada
    Caroline Schuerger, Biotechnology Research Fellow, Georgetown’s Center for Security and Emerging Technology (CSET)
    Rebecca Finlay, CEO, Partnership on AI
    Moderator: Ashley Casovan, Executive Director, Responsible AI Institute
    Plenary
    • Panellists: Elizabeth M. Adams, Affiliate Fellow, Stanford Institute for Human-Centered Artificial Intelligence (HAI)

    • Dr Catalina Lopez-Correa, Chief Scientific Officer, Genome Canada

    • Caroline Schuerger, Biotechnology Research Fellow, Georgetown’s Center for Security and Emerging Technology (CSET)

    • Rebecca Finlay, CEO, Partnership on AI

    • Moderator: Ashley Casovan, Executive Director, Responsible AI Institute

  • 10:00 - 10:25
    HEADLINER Reinforcement Learning and the future of AI Doina Precup, Canada CIFAR AI Chair; Associate Professor of Computer Science, McGill University; Research Team Lead, DeepMind Plenary

    Dr. Precup will share her latest research in Reinforcement Learning and how it is one of the methods that is paving the way towards DeepMind’s mission to solve intelligence to advance science and benefit society. The talk will shed light on some  recent advances in the field and how they play an essential role in how we can think about the future of a general-like intelligence in AI.

    • Doina Precup, Canada CIFAR AI Chair; Associate Professor of Computer Science, McGill University; Research Team Lead, DeepMind

  • 10:25 - 10:55
    REFRESHMENTS & NETWORKING
  • WORLD SUMMIT AI AMERICAS PLENARY: Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 10:55 - 11:15
      HEADLINER The need for Independent AI Research Alex Hanna, Director of Research, The DAIR Institute

      Research in and about artificial intelligence (AI) has become inextricable from corporate platforms. In the past ten years, AI labs have sprung up at every major corporate institution, and existing computer science departments have retooled into a conglomeration of data science, AI, and machine learning (ML) programs. Much of this has been driven by the immense amount of value which corporate actors derive from extracting and monetizing user data via their platforms. In this talk, we’ll discuss what social costs we’ve incurred because of this corporate capture, what risks we run in the regulatory domain, and think together through strategies of countering these trends.

      • Alex Hanna, Director of Research, The DAIR Institute

    • 11:15 - 11:35
      HEADLINER Machine Learning for Video Games Development Prof Dr. Konrad Tollmar, Research Director, SEED Electronic Arts

      SEED is a pioneering group within Electronic Arts, combining creativity with applied research. It explores the future of interactive entertainment. In this talk, Konrad will address how AI is transforming the entertainment industry and computer games, and more specifically how EA are using AI/ML for video game development. His talk will mainly focus on two areas. First how to use reinforcement learning to accelerate game testing, and secondly how generative models can be used to create game content at scale.

      • Prof Dr. Konrad Tollmar, Research Director, SEED Electronic Arts

    • 11:35 - 11:55
      KEYNOTE DEEP DIVE TECH TALK Towards General and Robust AI at Scale Irina Rish, Core Member of Mila – Quebec Artificial Intelligence Institute; Canada CIFAR AI Chair, Canada Excellence Research Chair (CERC) in Autonomous AI; Professor, Université de Montréal

      Modern AI systems have achieved impressive results in many specific domains, from image and speech recognition to natural language processing and mastering complex games such as chess and Go. However, they often remain inflexible, fragile and narrow, unable to continually adapt to a wide range of changing environments and novel tasks without “catastrophically forgetting” what they have learned before, to infer higher-order  abstractions allowing for systematic generalization to out-of-distribution data, and to achieve the level of robustness necessary to “survive”  various perturbations in their environment – a natural property of most biological intelligent systems, and a necessary property for successfully deploying AI systems in real-life applications. In this talk, Irina will provide a brief overview of recent efforts towards making AI more broad (i.e. general/versatile) and more robust, focusing on continual learning, invariance and adversarial robustness. She will also emphasize the importance of developing an empirical science of AI behaviors, and focus on rapidly expanding field of neural scaling laws, which allow us to better compare and extrapolate behavior of various algorithms and models with increasing amounts of data, model size and computational resources. Finally, Irina will summarize recent work on applying machine learning models to neuroscience and brain imaging.

      • Irina Rish, Core Member of Mila – Quebec Artificial Intelligence Institute; Canada CIFAR AI Chair, Canada Excellence Research Chair (CERC) in Autonomous AI; Professor, Université de Montréal

    • 11:55 - 12:15
      DEEP DIVE TECH TALK Let’s talk fuzzy logic: Determining the future of AI in electric vehicles Jack McCauley, Co-Founder and Former Chief Engineer, Oculus VR; Innovator in Residence, Jacobs Institute of Design Innovation, University of California at Berkeley

      Jack will be focusing particularly on autonomous vehicle control systems, wherein classic control theory is applied, He will explain why Fuzzy Logic, a branch of AI, is a natural fit for this and enables easy implementation

      • Jack McCauley, Co-Founder and Former Chief Engineer, Oculus VR; Innovator in Residence, Jacobs Institute of Design Innovation, University of California at Berkeley

  • TRACK 1: INTELLIGENT HEALTH The world’s leading AI in medicine summit series Chair: John Reeves, Global Healthcare CTO, Boomi
    • 10:55 - 11:15
      HEADLINER USE CASE AI-powered Transformation in Healthcare and Life Sciences John Reeves, Global Healthcare CTO, Boomi
      Bill Wong, AI & Analytics Practice Lead, Dell

      Advances in genomics, bioinformatics, microscopy, medical imaging and many more areas have created an avalanche of data and opportunities to improve patient outcomes. Not surprisingly, the healthcare and life sciences industry has emerged as the industry having received the most funding and investments for AI over the past few years. However, this industry also faces unique challenges in adopting AI solutions. This session will review current trends in the industry, best practices with accelerating and adopting AI solutions, and focus on customer use cases that have benefited from data-centric solutions

      • John Reeves, Global Healthcare CTO, Boomi

      • Bill Wong, AI & Analytics Practice Lead, Dell

    • 11:15 - 11:35
      INNOVATION INSIGHT How the next generation is changing AI: What I've learned from developing an AI image recognition algorithm for Kawasaki Disease Ellen Xu, Young AI Researcher, UCSD Kawasaki Disease Research Center
      • Ellen Xu, Young AI Researcher, UCSD Kawasaki Disease Research Center

    • 11:35 - 11:55
      INNOVATION INSIGHT Probabilistic modeling for disease progression Rahul G. Krishnan, Canada CIFAR AI Chair; Assistant Professor, Vector Institute; Assistant Professor, Department of Computer Science and Laboratory Medicine and Pathology, University of Toronto

      Electronic medical records bring forth new opportunities to leverage machine learning algorithms in the creation of the next generation of clinical decision support tools. In this talk, Rahul highlights how deep generative models that capture spatial and temporal patterns in high-dimensional clinical data can be used to build predictive models of patient outcomes and identify clusters in time-series data.

      • Rahul G. Krishnan, Canada CIFAR AI Chair; Assistant Professor, Vector Institute; Assistant Professor, Department of Computer Science and Laboratory Medicine and Pathology, University of Toronto

    • 11:55 - 12:15
      HEADLINER Chart the Future of Healthcare: Addressing workforce challenges and strengthening skills to better integrate AI Nathalie Beaulieu, Chief Learning Officer, Centre hospitalier de l’Université de Montréal (CHUM); Executive Director, CHUM School of AI in Healthcare
      Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare

      For AI implementation to succeed, healthcare organizations must invest and commit to a strong People Strategy. They must boost workforce readiness to wisely think about, mindfully develop and responsibly use AI solutions. After 4 years of testing and integrating AI at the CHUM, Canada’s top “Smart Hospital”, this session will cover critical mindsets, skillsets, and knowledge that are increasingly in demand, and how a healthcare organization can offer relevant learning opportunities and resources to help workforce prepare to adapt to AI.

      • Nathalie Beaulieu, Chief Learning Officer, Centre hospitalier de l’Université de Montréal (CHUM); Executive Director, CHUM School of AI in Healthcare

      • Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare

  • TRACK 2: DEEP DIVE TECH TALKS AND INNOVATION INSIGHTS Hear from the world's leading tech innovators across industry and academia on ground-breaking new innovations in AI Chair: Kenny Chen, Co-Founder, Partnership to Advance Responsible Technology
    • 10:55 - 11:15
      TECH TALK Developments in combining learning and control to enable more data efficient and generalizable robot learning Mo Chen, Amii Fellow; Canada CIFAR AI Chair; Assistant Professor, School of Computing Science and Principal Investigator of the Multi-Agent Robotic Systems Lab, Simon Fraser University

      Autonomous mobile robots are becoming pervasive in everyday life, and hybrid approaches that merge traditional control theory and modern data-driven methods are becoming increasingly important. In this talk, we examine connections between traditional, analytical control techniques and more recent data-driven, learning-based for controlling robots, and how these connections can improve data efficiency and generalization

      • Mo Chen, Amii Fellow; Canada CIFAR AI Chair; Assistant Professor, School of Computing Science and Principal Investigator of the Multi-Agent Robotic Systems Lab, Simon Fraser University

    • 11:15 - 11:35
      TECH TALK Living in an Unpredictable World - Leveraging AI and Simulation in Dynamic Digital Twins Sacha Leprêtre, Chief Technology Officer, Presagis

      Presagis CTO, Sacha Leprêtre will be examining why Digital Twins are a crucial to the current and future generations of AI. Sacha will discuss some of the main challenges in building Digital Twins and the role AI can have in detecting, synthetizing, and simulation. Looking forward, he will outline how scientists are paving the way for both new AI principles, and active areas of research.

      • Sacha Leprêtre, Chief Technology Officer, Presagis

    • 11:35 - 11:55
      FIRESIDE CHAT Human-AI collaboration from the lab to real life Dorian Kieken, Founder & President, AI Redefined (AIR)
      Dr Matthew E. Taylor, Canada CIFAR AI Chair; Fellow-In-Residence, Alberta Machine Intelligence Institute (Amii); Director, Intelligent Robot Learning Lab and Associate Professor of Computing Science, University of Alberta

      In order for artificial intelligence to succeed in the real world, it is critical that AIs and humans work collaboratively. In this chat, we will discuss how hybrid human-AI teams could bring more context and collaboration to AI in the lab as well as in real-world applications

      • Dorian Kieken, Founder & President, AI Redefined (AIR)

      • Dr Matthew E. Taylor, Canada CIFAR AI Chair; Fellow-In-Residence, Alberta Machine Intelligence Institute (Amii); Director, Intelligent Robot Learning Lab and Associate Professor of Computing Science, University of Alberta

    • 11:55 - 12:15
      INNOVATION INSIGHT The Importance of Privacy in NLP Patricia Thaine, Co-Founder & CEO, Private AI

      Natural language contains some of the most sensitive information that we produce, but we’re only beginning to understand the complexities of the privacy problems that need to be considered by NLP engineers and product groups. This session will explore concrete examples of privacy gone awry within NLP and some of the latest research in the area.

      • Patricia Thaine, Co-Founder & CEO, Private AI

  • 12:15 - 13:15
    LUNCH & NETWORKING
  • WORLD SUMMIT AI AMERICAS PLENARY: Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 13:15 - 13:35
      KEYNOTE ENTERPRISE STORY Building an AI capability at Air Canada Bruce Stamm, Senior Director, Artificial Intelligence and Application Development & Maintenance, Air Canada

      In this session, Bruce Stamm will describe how Air Canada has built their AI capability; how the team delivers AI projects; and discuss both some of the successes and lessons learned as the team has delivered AI solutions to different parts of the Airline over the last 3 years.

      • Bruce Stamm, Senior Director, Artificial Intelligence and Application Development & Maintenance, Air Canada

    • 13:35 - 13:55
      HEADLINER Responsible Humanity - Designing for an AI-enabled, human-centric future Vilas S. Dhar, President, Patrick J. McGovern Foundation

      In this talk, Vilas flips the conversation about ethical and responsible AI and makes the case for bringing design process around AI back to basics – building new technologies based on a prioritization of human values, cocreating tools with communities, and retasking profit-seeking products to improve the human welfare. Drawing on real-world examples of AI advancing human rights and interests, Vilas sets forth model principles for designing our shared digital future.

      • Vilas S. Dhar, President, Patrick J. McGovern Foundation

    • 13:55 - 14:15
      IN CONVERSATION Developing a successful collaboration in AI between researchers and enterprise Aurélie Labbe, FRQ-IVADO Research Chair in Data Science; Full Professor, HEC Montreal
      Jean-François Larochelle, Director Data Lab, Intact Financial Corporation
      Luc Vinet, CM, OQ, FRSC, Aisenstadt Professor Université de Montréal; Chief Executive, IVADO

      During this discussion, our line-up of experts will discuss the benefits of collaboration in AI between researchers and enterprise and share real-life examples of how this has resulted in hugely successful partnerships.

      • Aurélie Labbe, FRQ-IVADO Research Chair in Data Science; Full Professor, HEC Montreal

      • Jean-François Larochelle, Director Data Lab, Intact Financial Corporation

      • Luc Vinet, CM, OQ, FRSC, Aisenstadt Professor Université de Montréal; Chief Executive, IVADO

    • 14:15 - 14:35
      TECH TALK Learning Better Representations for Automated Speech Recognition Shalini Ghosh, Principal Research Scientist at Amazon Science (Alexa team), Amazon

      In this talk, we discuss how two recent projects at Amazon focused on exploiting the power of global representations, while maintaining a focus on the local-first heritage of automated speech recognition (ASR). We explore how global multi-modal representations learned from both video and audio can be incorporated into existing ASR frameworks in a local-first approach, improving the robustness of ASR models to local phenomena. We also demonstrate how we can leverage self-supervised techniques to separate the information useful for ASR (i.e. the content of the spoken utterance) from the information about the context in which an utterance occurs (i.e. the background noise, and speaker identity), to improve the robustness of the model to noisy events, without introducing hallucination in the ASR signal. Finally, we sketch some directions for future research which leverage the power of better representation learning to improve model performance in ASR tasks.

      • Shalini Ghosh, Principal Research Scientist at Amazon Science (Alexa team), Amazon

  • TRACK 1: INTELLIGENT HEALTH The world’s leading AI in medicine summit series Chair: John Reeves, Global Healthcare CTO, Boomi
    • 13:15 - 13:35
      HEADLINER Precision health: Why personalized care in the digital age will lift up health equity globally Dr Vindell Washington, CEO of Onduo and the Chief Clinical Officer, Verily Health Platforms

      While the world teeters back from Covid with a patchwork of responses at the local, regional, national and global level, fractures in our healthcare ecosystem remain most apparent within vulnerable populations. For those who shoulder the daily burden of managing chronic conditions like diabetes, hypertension and/or mental and behavioral health, the pandemic has raised the stakes for health leaders to improve access and care quality – and reduce health inequities. As a former payer and government leader, Dr. Vindell Washington will articulate why the responsibility and opportunity to deliver precision care is up to industry to help solve and how machine learning and AI can help us identify gaps to build a more inclusive, intelligent approach to care.

      • Dr Vindell Washington, CEO of Onduo and the Chief Clinical Officer, Verily Health Platforms

    • 13:35 - 14:15
      PANEL DISCUSSION Championing a collaborative approach to data: How to source the data our algorithms need? Dr Loubna Bouarfa, CEO & Founder, OKRA Technologies
      Courtney Cole, Founder and CEO, ForaHealthyMe
      Sarah Jenna, CEO and Co-Founder, My Intelligent Machines
      Dr Sonny Kohli, Co-founder/CMO, Cloud DX; Assistant Prof (adj.), McMaster University; Internal Med/Critical Care, Oakville Hospital
      Pr. Dr An Tang, Full Professor, Department of radiology, radiation oncology and nuclear medicine, Université de Montréal
      Moderator Bill Wong, AI & Analytics Practice Lead, Dell
      • Dr Loubna Bouarfa, CEO & Founder, OKRA Technologies

      • Courtney Cole, Founder and CEO, ForaHealthyMe

      • Sarah Jenna, CEO and Co-Founder, My Intelligent Machines

        Sarah Jenna, CEO and Co-Founder, My Intelligent Machines
      • Dr Sonny Kohli, Co-founder/CMO, Cloud DX; Assistant Prof (adj.), McMaster University; Internal Med/Critical Care, Oakville Hospital

      • Pr. Dr An Tang, Full Professor, Department of radiology, radiation oncology and nuclear medicine, Université de Montréal

      • Moderator Bill Wong, AI & Analytics Practice Lead, Dell

  • 14:35 - 15:00
    REFRESHMENTS & NETWORKING
  • 15:00 - 15:40
    CLOSING PANEL DISCUSSION Is interdisciplinary collaboration the key to understanding AI's impact and potential Panellists: Professor, Marc-Antoine Dilhac, Director of Algora Lab; CIFAR Chair in AI Ethics, Mila (Quebec Artificial Intelligence Institute); Professor of Philosophy, Université de Montréal
    Rebecca Distler, AI, Data, and Digital Health Strategist, The Patrick J. McGovern Foundation
    Dr Nicol Turner Lee, Senior Fellow - Governance Studies; Director - Center for Technology Innovation, The Brookings Institution
    Moderator: Alyssa Lefaivre, Director of Partnerships and Market Development, Responsible AI Institute (RAII)
    Plenary
    • Panellists: Professor, Marc-Antoine Dilhac, Director of Algora Lab; CIFAR Chair in AI Ethics, Mila (Quebec Artificial Intelligence Institute); Professor of Philosophy, Université de Montréal

    • Rebecca Distler, AI, Data, and Digital Health Strategist, The Patrick J. McGovern Foundation

    • Dr Nicol Turner Lee, Senior Fellow - Governance Studies; Director - Center for Technology Innovation, The Brookings Institution

    • Moderator: Alyssa Lefaivre, Director of Partnerships and Market Development, Responsible AI Institute (RAII)

  • 15:35 - 16:00
    CLOSING HEADLINER: The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do Erik J Larson, Computer scientist, Tech Entrepreneur, Author, Research Scientist, KBSI, Inc. Plenary

    Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven’t a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That’s why Alexa can’t understand what you are asking, and why AI can only take us so far.

     

    If we understand AI in terms of the types of inferences that can be performed (as opposed to philosophical notions like consciousness), it becomes clear that we aren’t really on a path to developing intelligent machines. In fact, we don’t even know where that path might be. And AI hype has another problem: it is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know―our own.

    • Erik J Larson, Computer scientist, Tech Entrepreneur, Author, Research Scientist, KBSI, Inc.

  • 16:00 - 16:05
    CLOSE OF WORLD SUMMIT AI
  • Friday 06th

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