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World Summit AI Americas 

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  • Wednesday 24th
  • 07:30 - 08:30
    REGISTRATION
  • 08:30 - 09:10
    WELCOME AND MEET UP
  • 09:10 - 09:15
    WELCOME InspiredMinds!
  • 09:15 - 09:22
    WELCOME to Canada
  • 09:22 - 09:30
    WELCOME and Chairperson’s Opening Remarks Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:30 - 09:55
    HEADLINER Joelle Pineau, Associate Professor and William Dawson Scholar, School of Computer Science, McGill University; Co-Managing Director, Meta AI Research

    9:30 – 9:55

    • Joelle Pineau, Associate Professor and William Dawson Scholar, School of Computer Science, McGill University; Co-Managing Director, Meta AI Research

  • 09:55 - 10:20
    HEADLINER Marc Mathieu, Co-Founder, Salesforce Emerging Studio, SVP AI Transformation & Vice Chair, Salesforce Global Advisory Board, Salesforce

    9:55 – 10:20

    • Marc Mathieu, Co-Founder, Salesforce Emerging Studio, SVP AI Transformation & Vice Chair, Salesforce Global Advisory Board, Salesforce

  • 10:20 - 10:55
    HEADLINER: Human by design: How AI unleashes the next level of human potential Krish Banerjee, Canada Managing Director, Data, Analytics & Applied Intelligence, Accenture

    We are creating a generation of technology that is more human. We must strive to make technology more intuitive, more intelligent, and seamlessly threaded into every aspect of our lives. Accenture predicts that over the coming 12-24 months there will be a significant uptick in companies who embrace generative AI as a catalyst for reinvention. In the coming years, businesses will have an increasingly powerful array of technologies at their disposal that will open new pathways to unleash greater human potential, productivity, and creativity. Early adopters and leading businesses have kick-started a race toward a new era of value and capability. And their strategies are underpinned by one common thread – the technology is becoming more human.

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

  • 10:45 - 11:25
    MID-MORNING BREAK
  • WORLD SUMMIT AI PLENARY Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 11:25 - 12:00
      PANEL DISCUSSION: Maximizing the AI Opportunity: Balancing competitive-advantage and safety with AI innovation Panellists:
      Alyssa Lefaivre Škopac, Head of Global Partnerships and Growth, Responsible AI Institute
      Onyinye Enyia Daniel, PhD, Vice President, Data & Analytics Strategy, Highmark Health
      Elena Fersman, VP Head of Global AI Accelerator & Head of Silicon Valley Site, Ericsson

      Dive into a compelling panel discussion featuring industry leaders and experts as they discuss strategies to synchronize AI adoption with effective risk management and safety measures so they can leverage AI innovation with confidence. Through  case studies and actionable insights, explore how forward-thinking companies are seamlessly integrating AI technologies while strategically mitigating risks to stay ahead of the curve. 

      • Panellists:

      • Alyssa Lefaivre Škopac, Head of Global Partnerships and Growth, Responsible AI Institute

      • Onyinye Enyia Daniel, PhD, Vice President, Data & Analytics Strategy, Highmark Health

      • Elena Fersman, VP Head of Global AI Accelerator & Head of Silicon Valley Site, Ericsson

    • 12:05 - 12:25
      HEADLINER Doina Precup, Canada CIFAR AI Chair; Associate Professor of Computer Science, McGill University; Research Team Lead, DeepMind

      12:05-12:25

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

    • 12:25 - 12:45
      HEADLINER: Is a quantum apocalypse on the horizon?
  • TRACK 1: AI IN ACTION: ENTERPRISE STORIES
    • 11:25 - 11:45
      USE CASE

      11:25-11:45

    • 11:45 - 12:05
      USE CASE: Training the next generation of pilots with AI Adaptive Learning Applications Annik Carson, PhD. Adaptive Learning Product Lead, AI Redefined
      Mike Jones, Director of Engineering Services, Head of Department, Systems Technology, Inc.(STI)

      Electric vertical take off and landing (eVTOL) aircraft are an emerging technology in the aviation industry aimed at offering a quiet, low-emissions mode of short-range air transport. The development of this technology is happening at a time of unprecedented workforce shortages across the aviation industry, a phenomenon which is due in part to challenges of cost, time, and access to training resources in order for learners to become fully proficient. Systems Technology, Inc. (STI) and AI Redefined (AIR) have partnered to deliver a data-driven approach to eVTOL training to reduce training time and cost, increase efficiency, and meet regulatory safety standards. Integrating with simulation-based training, AI Redefined’s Cogment Adaptive Learning platform uses AI to identify mistakes, provide feedback, and create novel training content targeted to each individual learner’s needs. The design of this application allows students to train on-demand and at their own pace, shifting training from an hours-based to a competency-based model, and providing a path toward better student outcomes in training programs to meet workforce needs

      • Annik Carson, PhD. Adaptive Learning Product Lead, AI Redefined

      • Mike Jones, Director of Engineering Services, Head of Department, Systems Technology, Inc.(STI)

    • 12:05 - 12:25
      USE CASE Annie Cyr, CEO & Co-Founder, Tengiva

      12:05-12:25

      • Annie Cyr, CEO & Co-Founder, Tengiva

    • 12:25 - 12:45
      USE CASE

      12:25-12:45

  • TRACK 2: INTELLIGENT HEALTH
    • 11:25 - 11:45
      HEADLINER: Crisis or Cure: The divisive debate on AI’s role in modern healing Rohan Goswami, Director - Heart Transplant Research and Innovation. Mayo Clinic

      As artificial intelligence (AI) continues to infiltrate the realm of healthcare, the debate surrounding its impact on modern healing intensifies. This presentation delves into the heart of the controversy, exploring the dual narrative of AI as a potential crisis or a transformative cure. Delving into ethical considerations, societal implications, and the evolving landscape of patient care, we scrutinize the divisive perspectives that surround AI’s integration into medicine. Join Rohan for a thought-provoking exploration of whether AI is a disruptive force threatening the sanctity of healthcare or an indispensable ally ushering in a new era of healing possibilities.

      • Rohan Goswami, Director - Heart Transplant Research and Innovation. Mayo Clinic

    • 11:45 - 12:05
      TECH TALK: Training an AI model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice
    • 12:05 - 12:40
      PANEL DISCUSSION: Realising the transformative potential of Generative AI in healthcare
  • TRACK 3: INNOVATION INSIGHTS
    • 11:25 - 11:45
      INNOVATION INSIGHT Jay Marshall, Vice President of Business Development, Neural Magic

      11:25 – 11:45

      • Jay Marshall, Vice President of Business Development, Neural Magic

    • 11:45 - 12:05
      INNOVATION INSIGHT: Transforming communication through AI Joël Gallant, CEO & Co-Founder, CLIC Labs
      William Caron, COO & Founder, CLIC Labs

      We live in a global community, but there is still one challenge; how to effectively talk to the neighbors from a different country. Imagine if we could speak, everyone in their own language, and listen to each other in ours.  

      Many translation solutions today are not synchronous and break the flow of a conversation.  CLIC Labs can offer fast, smooth, and seamless translation, preserving the naturalness and richness of real conversations and eliminating language barriers without altering the meaning of communication. With its ease of use and much lower cost compared to existing market solutions, this offers radical change in the field of simultaneous translation

      • Joël Gallant, CEO & Co-Founder, CLIC Labs

      • William Caron, COO & Founder, CLIC Labs

    • 12:05 - 12:25
      INNOVATION INSIGHT: AI Penetration Testing
    • 12:25 - 12:45
      INNOVATION INSIGHT

      12:25-12:45

  • TRACK 4: WORKSHOPS
    • 11:25 - 12:25
      WORKSHOP

      AWS

  • 12:45 - 13:45
    LUNCH
  • 13:45 - 14:05
    HEADLINER: How to use AI for sustainable impact Sreedhar Sistu, Vice President, AI Offers, Schneider Electric

    Join Sreedhar Sistu, VP AI External Offers, Schneider Electric, discussing how to put data and AI to work at scale, in order to solve the biggest challenges of our generation: climate change and decarbonization. Discover how AI can be used to reduce energy consumption and resulting GHG emissions in buildings, data centers, infrastructure, and industries. Learn how, thanks to AI, sustainable development and business profitability can go hand in hand. Finally, hear how AI is helping remove the barriers to deploy energy efficiency solutions at scale, today. After all, sustainability cannot wait.

    • Sreedhar Sistu, Vice President, AI Offers, Schneider Electric

  • WORLD SUMMIT AI PLENARY Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 13:45 - 14:05
      HEADLINER: How to use AI for sustainable impact Sreedhar Sistu, Vice President, AI Offers, Schneider Electric

      Join Sreedhar Sistu, VP AI External Offers, Schneider Electric, discussing how to put data and AI to work at scale, in order to solve the biggest challenges of our generation: climate change and decarbonization. Discover how AI can be used to reduce energy consumption and resulting GHG emissions in buildings, data centers, infrastructure, and industries. Learn how, thanks to AI, sustainable development and business profitability can go hand in hand. Finally, hear how AI is helping remove the barriers to deploy energy efficiency solutions at scale, today. After all, sustainability cannot wait.

      • Sreedhar Sistu, Vice President, AI Offers, Schneider Electric

    • 14:05 - 14:25
      HEADLINE TECH TALK 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

      14:05

      • 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

    • 14:25 - 14:45
      HEADLINER: Deploying outcomes-focused AI solutions to transform the healthcare journey and innovate for the future
    • 14:45 - 15:05
      HEADLINER: Will Multimodality usher in a new era of ‘Interactive AI’?

      Can these next generation of foundational AI models increase productivity and efficiency captures?

    • 15:05 - 15:25
      HEADLINER: Using Large Language Models to build the largest AI cluster in the world
  • TRACK 1: DEEP DIVE TECH TALKS
    • 13:45 - 14:05
      TECH TALK: Forging the Future: Elevating Cybersecurity Defense with Analyst Wisdom through Generative AI
    • 14:05 - 14:25
      TECH TALK

      14:05-14:25

    • 14:25 - 14:45
      TECH TALK

      14:25-14:45

    • 14:45 - 15:05
      TECH TALK: Search Relevance: The Key to Effective Retrieval Augmented Generation (RAG) Mathieu Fortier, Director of ML/NLP, Coveo

      In the rapidly evolving field of Generative AI, Retrieval Augmented Generation (RAG) systems have emerged as a powerful tool for generating high-quality, contextually relevant responses. However, enterprises testing these capabilities have uncovered the need for effective search to ground answers in accuracy. ​

      Join this session to understand how enhancing search relevance can improve the performance of RAG. Uncover:

      -Key underlying capabilities that are prerequisites for effective GenAI

      -The importance of a complete system including connectivity, relevance, AI and analytics

      -Lessons learned from GenAI production deployments at scale

      • Mathieu Fortier, Director of ML/NLP, Coveo

    • 15:05 - 15:25
      TECH TALK: Navigating the Data Maze: Seeking Data Alternatives in the Post-API Landscape
  • TRACK 2 - INTELLIGENT HEALTH
    • 13:45 - 14:05
      HEADLINER

      13:45-14:05

    • 14:05 - 14:25
      USE CASE

      14:05-14:25

    • 14:25 - 14:45
      TECH TALK: LLMOps - Deploying, managing and fine-tuning domain-specific LLMs for generative AI apps Puru Amradkar, Chief Product Officer, Aisera

      Join Puru Amradkar, CPO at Aisera, as he explores LLMOps, encompassing aspects from building to deployment and management of LLMs, addressing concerns such as model refinement and domain adaptation. Diving deeper, he will address ways of tailoring LLMs for specific use cases leveraging RAG (Retrieval Augmented Generation) and fine-tuning techniques within a TRAPS framework (Trust, Responsible AI, Privacy, and Security). This aims to enhance accuracy, minimize hallucinations, ensure accountability, and safeguard privacy with robust security measures. By addressing these factors, organizations can harness the full potential of LLMs in applications, ranging from action bots and AI Copilots to AI Search, with proven ROI. 

      • Puru Amradkar, Chief Product Officer, Aisera

    • 14:45 - 15:25
      PANEL DISCUSSION

      14:45-15:25

  • TRACK 3: INNOVATION INSIGHTS
    • 13:45 - 14:05
      INNOVATION INSIGHT

      13:45-14:05

    • 14:05 - 14:25
      INNOVATION INSIGHT

      14:05-14:25

    • 14:25 - 14:45
      INNOVATION INSIGHT

      14:25-14:45

    • 14:45 - 15:25
      PANEL DISCUSSION

      14:45-15:25

  • TRACK 4: WORKSHOPS
    • 13:45 - 14:45
      WORKSHOP - 60 mins

      13:45-14:45

    • 14:55 - 15:25
      WORKSHOP - 30 MINS

      Latitude.sh

  • 15:25 - 15:55
    REFRESHMENTS, NETWORKING AND MEET UP
  • 15:55 - 16:20
    HEADLINER: Utilising enterprise generative AI assistants to transform knowledge work
  • 16:20 - 16:40
    HEADLINER: Leveraging data to change the world for the public good
  • 16:40 - 17:15
    PANEL DISCUSSION: Discussing best practice to promote responsible open Foundation Models

    Does openness and collaboration accelerate innovation?

    What risks do these models pose?

    Does the immense scale of these technologies imply greater obligations for responsible development?

    Should governments regulate these models and if so how?

  • 17:15 - 17:40
    HEADLINER Andrew Zolli, Chief Impact Officer, Planet

    17:15-17:40

    • Andrew Zolli, Chief Impact Officer, Planet

  • 17:40 -
    CLOSE OF SUMMIT DAY ONE
  • Thursday 25th
  • 08:00 - 08:30
    REGISTRATION
  • 08:30 - 09:30
    WELCOME
  • 09:30 - 09:35
    WELCOME InspiredMinds!
  • 09:35 - 09:40
    WELCOME and chairperson’s opening remarks Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com

  • 09:40 - 10:00
    HEADLINER Darren Martin, Chief Digital Officer, AtkinsRéalis

    9:40 – 10:00

    • Darren Martin, Chief Digital Officer, AtkinsRéalis

  • 10:00 - 10:25
    HEADLINER: Generative AI Integration and Financial Services: a Balancing Act Foteini Agrafioti, Head, Borealis AI & Chief Science Office, Royal Bank of Canada

    Generative AI is a transformative technology that has a profound impact on various industries and our society as a whole. Although there is a lot of excitement and potential surrounding the use of GenAI, it is necessary to conduct technical and social research to understand and manage any associated risks. In particular, how can Generative AI be used in customer service for financial institutions? Foteini Agrafioti, Chief Science Officer of RBC and Head of Borealis AI, delves into the potential of this technology and shares approaches for responsible use and mitigating potential risks.

    • Foteini Agrafioti, Head, Borealis AI & Chief Science Office, Royal Bank of Canada

  • 10:25 - 10:50
    PANEL DISCUSSION: What drives successful AI adoption? David Barnes, PhD, Brigadier General, US Army (Retired); Chief AI Ethics Officer, US Army Artificial Intelligence Integration Center (AI2C)
    • What problem do you need to solve?
    • Is AI/tech the best solution and, if so, when should you use it, and for what purpose?
    • What’s hype and what’s not?
    • Engaging your BS meter to avoid AI snake oil
    • David Barnes, PhD, Brigadier General, US Army (Retired); Chief AI Ethics Officer, US Army Artificial Intelligence Integration Center (AI2C)

  • 10:50 - 11:15
    HEADLINER: Establishing effective governance models that prioritize human dignity and well-being for tomorrow’s AI
  • 11:15 - 11:40
    REFRESHMENTS, NETWORKING AND MEET UP
  • WORLD SUMMIT AI AMERICAS PLENARY Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 11:40 - 12:00
      HEADLINER: Revolutionizing Innovation at the Speed of Thought Larry Heck, Professor of ECE and Interactive Computing, Executive Director, AI Hub and Machine Learning Center, Georgia Tech

      Amidst the ongoing discourse surrounding the potential threats posed by AI and the apprehensions about AI superseding human roles, an alternative perspective emerges for the future of AI. Rather than displacing humans, this vision sees AI as a collaborator that augments and elevates humanity. In this narrative, AI works in tandem with humans, extending our capabilities far beyond current limits and bestowing upon us unprecedented superpowers of creativity and productivity. Instead of viewing AI as a mere automaton, it transforms into our ‘ironman’ suit, a powerful ally in our pursuits. The ultimate goal is to harness AI’s potential to facilitate innovation at the speed of thought. Imagine having an idea and seamlessly collaborating with your AI Virtual Assistant (AVA) to bring that idea to fruition. While recent strides in generative AI represent a significant leap in this direction, there is still a considerable journey ahead.

       

      In this talk, Larry will explore the advancements made toward this visionary future with a primary focus on overcoming the communication barriers between humans and machines. To highlight the potential, he will talk about a specific application of this vision: scientific research at the speed of thought.  The presentation will conclude by outlining the remaining research challenges that must be tackled to fully embrace this collaborative and transformative relationship between humans and AI.

      • Larry Heck, Professor of ECE and Interactive Computing, Executive Director, AI Hub and Machine Learning Center, Georgia Tech

    • 12:00 - 12:20
      HEADLINER

      12:00 – 12:20

    • 12:20 - 13:00
      PANEL DISCUSSION: How do LLMs and AI impact the cybersecurity landscape Martin-Guy Richard, CISO - Chief Information Security Officer, Ville de Montréal
      • How to improve cyber resilience across your workforce
      • Understanding the risks and how to most responsibly handle them as rapid adoption of AI-driven productivity tools leads to a higher threat risk
      • Leveraging these tools to benefit from earlier detection and a shorter breach lifecycle
      • Incorporate guidelines for the responsible use of AI tools in the workplace
      • Martin-Guy Richard, CISO - Chief Information Security Officer, Ville de Montréal

  • TRACK 1: AI IN ACTION: ENTERPRISE STORIES
    • 11:40 - 12:00
      USE CASE - oil and gas
    • 12:00 - 12:20
      USE CASE - mining
    • 12:20 - 12:40
      USE CASE - agriculture/forestry
    • 12:40 - 13:00
      USE CASE: The future of peace: Using AI to predict war Max Murphy, Data Scientist, Overwatch Data

      In recent years, war has cascaded around the world. But could AI transform peace building in the 21st century? This talk will explore the latest developments in AI which might help us to predict violent conflict in advance by identifying subtle trends and connections in decades’ worth of data – from climate factors to patterns of violence.

      • Max Murphy, Data Scientist, Overwatch Data

  • TRACK 2: RESPONSIBLE AI AND GOVERNANCE
    • 11:40 - 12:00
      HEADLINER: Let's get real about AI Governance Onyinye Enyia Daniel, PhD, Vice President, Data & Analytics Strategy, Highmark Health

      Responsible AI has been a crucial component of discussions around AI. How do we optimize the value of AI innovation while minimizing harm to individuals, society, and the environment? AI Governance is the key to implementing responsible AI. However, many organizations struggle to find the practical path to implementing AI Governance in a real and meaningful way in their organization. Using Highmark Health, a large, complex, Fortune 500 equivalent blended health organization, this presentation will chart Highmark Health’s path to successful end-to-end AI governance implementation across people, processes and technology.

      • Onyinye Enyia Daniel, PhD, Vice President, Data & Analytics Strategy, Highmark Health

    • 12:00 - 12:40
      PANEL DISCUSSION: How can we best democratize AI and Responsible AI knowledge so people can meaningfully understand its impacts, harms and opportunities?
    • 12:40 - 13:00
      HEADLINER: We are the LIMFAC: AI has a people problem David Barnes, PhD, Brigadier General, US Army (Retired); Chief AI Ethics Officer, US Army Artificial Intelligence Integration Center (AI2C)

      Our choices, actions, & engagements are both the limitations & the facilitators. Responsible building & usage of AI are inherently human endeavors. Embracing AI in enterprises requires a balanced & comprehensive strategy, integrating technology with human oversight, ethical considerations, & robust processes. By adopting a whole-of-enterprise approach & focusing on the synergy of people, processes, & technology, businesses can harness AI’s transformative power while minimizing associated risks.

      • David Barnes, PhD, Brigadier General, US Army (Retired); Chief AI Ethics Officer, US Army Artificial Intelligence Integration Center (AI2C)

  • TRACK 3: INNOVATION INSIGHTS
    • 11:40 - 12:00
      INNOVATION INSIGHT Mario Rodriguez, Vice President, Product, GitHub

      11:40-12:00

      • Mario Rodriguez, Vice President, Product, GitHub

    • 12:00 - 12:20
      INNOVATION INSIGHT

      12:00-12:20

    • 12:20 - 12:40
      INNOVATION INSIGHT

      12:20-12:40

    • 12:40 - 13:00
      INNOVATION INSIGHT

      12:40-13:00

  • TRACK 4: WORKSHOPS
    • 11:40 - 12:40
      WORKSHOP - 60 MINS

      11:40- 12:40

  • 13:00 - 14:00
    LUNCH, NETWORKING AND MEET UP
  • WORLD SUMMIT AI AMERICAS PLENARY Chair: Fiona McEvoy, Technology & AI Ethics Writer/Researcher & Founder, YouTheData.com
    • 14:00 - 14:20
      HEADLINER: Responsible Generative AI and societal impact Merve Hickok, President & Research Director, Center for AI and Digital Policy (CAIDP)

      Generative AI models are evolving as we speak, with significant impact on society. We are building the road and the road signs as we drive. Responsible Generative AI means ensuring justified trust for AI technologies. But what does that look like?

      • Merve Hickok, President & Research Director, Center for AI and Digital Policy (CAIDP)

    • 14:20 - 14:40
      HEADLINER: Data and AI: With great power comes great responsibility Lambert Hogenhout, Chief Data, Analytics and Emerging Technologies, United Nations

      Being an AI expert or a data scientist these days is like having superpowers: you have a disproportionately large impact on the world. It also means we have a responsibility in terms of how we wield that power. Do we need a Hippocratic Oath for data science? How do we as individuals and businesses behave responsibly?

       

      • Lambert Hogenhout, Chief Data, Analytics and Emerging Technologies, United Nations

    • 14:40 - 15:00
      HEADLINER: Deploying analytical tools and models to make data-driven strategic decisions that drive business growth
    • 15:00 - 15:20
      HEADLINER - legal: Creating the business model for licensing personal IP in light of recent Generative AI developments
    • 15:20 - 15:40
      HEADLINER: Building reliable interpretable, and steerable AI systems
  • TRACK 1: DEEP DIVE TECH TALKS – In Partnership with Mila
    • 14:00 - 14:20
      TECH TALK: Reinforcement Learning for Real-World Problems Glen Berseth, Assistant Professor, Université de Montréal; Core Academic Member, Mila - Quebec AI Institute; Canada CIFAR AI Chair; Co-Director, Robotics and Embodied AI Lab (REAL)
      • Glen Berseth, Assistant Professor, Université de Montréal; Core Academic Member, Mila - Quebec AI Institute; Canada CIFAR AI Chair; Co-Director, Robotics and Embodied AI Lab (REAL)

    • 14:20 - 14:40
      TECH TALK: Generative models as queryable world models Adriana Romero Soriano, Adjunct Professor, McGill University; Canada CIFAR AI Chair; Research Scientist, Meta

      Over the last decade, the de facto standard for training high performing representation learning models has heavily relied on large scale static datasets crawled from the Internet. However, recent advances in visual content creation are challenging this status quo by pushing researchers to leverage high performing image generative models as world models that work in tandem with representation learning models by providing them with data. In this talk, Adriana will address two research questions: (1) Are state-of-the-art image generative models optimized to work as world models?; and (2) What is the most effective way to guide the generative model to produce samples that are useful for the downstream task?

      • Adriana Romero Soriano, Adjunct Professor, McGill University; Canada CIFAR AI Chair; Research Scientist, Meta

    • 14:40 - 15:00
      TECH TALK: A brain-inspired measure for assessing the quality of pretrained representations Blake Richards, Core Faculty Member, Mila; Associate Professor, School of Computer Science and Department of Neurology and Neurosurgery, McGill University

      Self-Supervised Learning (SSL) with large unlabelled datasets enables pretraining of useful representations for multiple downstream tasks. However, assessing the quality of such representations efficiently poses nontrivial challenges. Existing approaches use probes to evaluate performance on a given task. This is expensive both computationally, since it requires retraining for each downstream task, and statistically, since it requires task-specific labels for multiple tasks. This poses a natural question, how do we efficiently determine the “goodness” of representations pretrained with SSL across a wide range of potential downstream tasks? In particular, a task-agnostic statistical measure of representation quality, that predicts generalization without explicit downstream task evaluation, would be highly desirable. In this work, we take inspiration from recent neuroscience findings to develop a metric for representation “goodness”. Specifically, we observe that the decay coefficient for the eigenspectrum of the empirical feature covariance (α) serves as a measure of representation quality, with networks whose α value is closer to that of the brain showing better downstream generalization.

      • Blake Richards, Core Faculty Member, Mila; Associate Professor, School of Computer Science and Department of Neurology and Neurosurgery, McGill University

    • 15:00 - 15:20
      TECH TALK: In-context learning: how large models learn to learn on the fly Guillaume Lajoie, Core Academic Member, Mila; Assistant Professor, Department of Mathematics and Statistics (DMS), Université de Montréal

      In-context learning (ICL) refers to the ability of Transformers, the model architecture used in LLMs, to perform novel tasks based on a few examples or instructions. Like humans, with enough experience and information, large language models can process novel commands on the fly without updating their parameters. ICL is the key mechanism that supports an array of new ways we interact with AI, such as prompt engineering and chain-of-thought approaches. Yet, this property is not designed but instead emerges from a training procedure that largely focuses on next-word prediction. In this talk, Guillaume will explore the fascinating mechanism of ICL, outline how we try to improve it, and present key ways in which it may resemble (and differ) from the way we learn.

      • Guillaume Lajoie, Core Academic Member, Mila; Assistant Professor, Department of Mathematics and Statistics (DMS), Université de Montréal

    • 15:20 - 15:40
      TECH TALK

      15:20-15:40

  • TRACK 2: AI IN ACTION: ENTERPRISE STORIES
    • 14:00 - 14:40
      PANEL DISCUSSION: AI and Manufacturing - How can digital transformation lead to new efficiencies and production?
    • 14:40 - 15:00
      USE CASE

      14:40-15:00

    • 15:00 - 15:40
      PANEL DISCUSSION: How AI is shaping the future of retail
  • TRACK 3: INNOVATION INSIGHTS
    • 14:00 - 14:10
      INNOVATION INSIGHT

      14:00-14:10

    • 14:10 - 14:20
      INNOVATION INSIGHT

      14:10-14:20

    • 14:20 - 14:30
      INNOVATION INSIGHT

      14:20-14:30

    • 14:30 - 15:45
      STARTUPS SHOWCASE Judges:
      Sheila Beladinejad, CEO, O Canada Tech; President, Women in AI & Robotics

      Five AI startups short-listed for our showcase get 10 minutes to pitch their business idea to four judges. 

      After each pitch, judges get 5 minutes to ask questions about the venture.

      • Judges:

      • Sheila Beladinejad, CEO, O Canada Tech; President, Women in AI & Robotics

  • TRACK 4: WORKSHOPS
    • 14:00 - 15:00
      WORKSHOP - 60 MINS

      14:00-15:00

    • 15:10 - 15:40
      WORKSHOP - 30 MINS

      15:10

  • 15:40 - 16:00
    REFRESHMENTS, NETWORKING AND MEET UP
  • 16:00 - 16:20
    HEADLINER: Shaping the future of retail through innovation and tech
  • 16:20 - 16:50
    PANEL DISCUSSION: How should we prepare for the era of an augmented workforce? Panellists:
    Dr Kevin J.Jones, IU Columbus Director of the Center for Teaching and Learning; Director, Center for Teaching and Learning; Associate Professor of Management, Division of Business, Indiana University - Columbus
    Jared Spataro, Corporate Vice President, Modern Work & Business Applications, Microsoft
    Natalie Mayerhofer, Associate to the Chief Learning Officer (CHUM), Co-Founder, CHUM School of AI in Healthcare

    Will AI support humans to do the work they already perform, but simply with greater speed and efficiency?

    Will authentic human creativity be drowned by a wave of algorithmically-generated content?

    • Panellists:

    • Dr Kevin J.Jones, IU Columbus Director of the Center for Teaching and Learning; Director, Center for Teaching and Learning; Associate Professor of Management, Division of Business, Indiana University - Columbus

    • Jared Spataro, Corporate Vice President, Modern Work & Business Applications, Microsoft

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

  • 16:50 - 17:15
    HEADLINER: AI safety and democratic governance of powerful AI systems Yoshua Bengio, Canada CIFAR AI Chair; Full Professor, Samsung AI; Professor, Université de Montréal; Scientific Director, Mila & IVADO
    • Yoshua Bengio, Canada CIFAR AI Chair; Full Professor, Samsung AI; Professor, Université de Montréal; Scientific Director, Mila & IVADO

  • 17:15 -
    CLOSE OF WORLD SUMMIT AI

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