2024 MIT Digital Technology and Strategy Conference

Unleashing Generative AI: Transforming Industries, Empowering Futures

September 17, 2024 - September 18, 2024
2024 MIT Digital Technology and Strategy Conference
Conference

Location

Boston Marriott Cambridge
50 Broadway
Cambridge, MA 02142

Accommodations

Secure your hotel room at Marriott at a special group rate of $399+tax.

To benefit from this discounted rate, guests are encouraged to make their reservations using the provided reservation link by no later than September 19, 2024.


Overview

Discover the forefront of digital transformation at the 2024 MIT Digital Technology and Strategy Conference. Building upon the groundbreaking research at MIT, this year's event focuses on the pivotal role of generative AI in driving innovation and reshaping industries.

From uncovering hidden insights to creating distinctive products and experiences, Generative AI stands as a catalyst for transformative change. Delve into captivating discussions led by esteemed MIT faculty and industry pioneers, exploring the profound impact of Generative AI on enterprise strategy and societal advancements.

Through illuminating presentations, lightning talks, and interactive workshops, attendees will gain invaluable insights into real-world applications of Generative AI across diverse sectors. From enhancing customer experiences to optimizing operations, learn how leading organizations harness the power of Generative AI to stay ahead in the digital age.

Moreover, seize the opportunity to network with top MIT researchers, industry executives, and forward-thinking professionals and entrepreneurs, fostering collaborations and forging connections that propel future success. Join us at the 2024 MIT Digital Technology and Strategy Conference and unlock the potential of Generative AI to transform industries and empower futures.


ILP MEMBERS ONLY

Sign up for the following add-on events when you register for the 2024 MIT Digital Technology and Strategy Conference:

Digital Workshop with MIT Professional Education
September 16, 2024 | 2:00-5:00 PM

Explore new avenues in AI and ML tools to assist in scouting, testing, and pioneering ideas, helping you quickly vet and consider opportunities to benefit your organization. 

MIT Media Lab Immersion Session and Tour
September 18, 2024 | 1:30-2:30 PM
Unique and special opportunity to experience demo sessions from Media Lab students and researchers.  

Sign up for these member-only add-on events when you register for the conference. Space is limited.


Registration Fee
  ILP Member: Complimentary
  General Public: $2,250 
  Current MIT Faculty/Staff/Student: Complimentary, On-site Registration only
    * MIT Alum, Sloan Exec Ed, and Professional Education Member: 70% discount Send an email for a discount code.
    * MIT Startup Exchange Member: Send an email for a comp code.

Registration Questions: ocrevents@mit.edu
  • Overview

    Discover the forefront of digital transformation at the 2024 MIT Digital Technology and Strategy Conference. Building upon the groundbreaking research at MIT, this year's event focuses on the pivotal role of generative AI in driving innovation and reshaping industries.

    From uncovering hidden insights to creating distinctive products and experiences, Generative AI stands as a catalyst for transformative change. Delve into captivating discussions led by esteemed MIT faculty and industry pioneers, exploring the profound impact of Generative AI on enterprise strategy and societal advancements.

    Through illuminating presentations, lightning talks, and interactive workshops, attendees will gain invaluable insights into real-world applications of Generative AI across diverse sectors. From enhancing customer experiences to optimizing operations, learn how leading organizations harness the power of Generative AI to stay ahead in the digital age.

    Moreover, seize the opportunity to network with top MIT researchers, industry executives, and forward-thinking professionals and entrepreneurs, fostering collaborations and forging connections that propel future success. Join us at the 2024 MIT Digital Technology and Strategy Conference and unlock the potential of Generative AI to transform industries and empower futures.


    ILP MEMBERS ONLY

    Sign up for the following add-on events when you register for the 2024 MIT Digital Technology and Strategy Conference:

    Digital Workshop with MIT Professional Education
    September 16, 2024 | 2:00-5:00 PM

    Explore new avenues in AI and ML tools to assist in scouting, testing, and pioneering ideas, helping you quickly vet and consider opportunities to benefit your organization. 

    MIT Media Lab Immersion Session and Tour
    September 18, 2024 | 1:30-2:30 PM
    Unique and special opportunity to experience demo sessions from Media Lab students and researchers.  

    Sign up for these member-only add-on events when you register for the conference. Space is limited.


    Registration Fee
      ILP Member: Complimentary
      General Public: $2,250 
      Current MIT Faculty/Staff/Student: Complimentary, On-site Registration only
        * MIT Alum, Sloan Exec Ed, and Professional Education Member: 70% discount Send an email for a discount code.
        * MIT Startup Exchange Member: Send an email for a comp code.

    Registration Questions: ocrevents@mit.edu
Register

Agenda

  • Day 1 | September 17, 2024
    8:00 AM

    Registration and Light Breakfast
    9:00 AM

    Welcome and Introduction
    Executive Director, MIT Corporate Relations
    Gayathri Srinivasan photo
    Gayathri Srinivasan
    Executive Director

    Dr. Srinivasan is a distinguished scientist who received her PhD in Microbiology from The Ohio State University in 2004, where she contributed to the discovery of the 22nd amino acid, Pyrrolysine (2002). She first came to MIT as an NIH Postdoctoral Fellow in Prof. Tom Rajbhandary’s lab, where her research focused on understanding protein synthesis mechanisms in Archaea.

     Dr. Srinivasan subsequently moved into the business development and technology licensing space, serving in MIT’s Technology Licensing Office, where she helped commercialize technologies in medical devices and alternative energies. She then moved to UMass Medical School’s Office of Technology Management in 2009 and to Emory University in Atlanta in 2014 as the Director of Public and Private Partnerships for the Woodruff Health Sciences Center. In 2019, Dr. Srinivasan joined Emory’s Office of Corporate Relations as Executive Director, and in 2021, she led the Office of Corporate and Foundation Relations.

    Program Director, MIT Industrial Liaison Program
    Graham Rong
    Program Director

    Dr. Rong is a Program Director of Corporate Relations at MIT. He currently supervises a group of ILP program directors who promote and manage the interactions and relationships between the research at MIT and companies worldwide to help them stay abreast of the latest developments in technology and business practices.

    Previously, Dr. Rong founded IKA, LLC. He has led corporate development and product innovation and provided strategic advice to companies in corporate strategy, IT leadership, digital transformation, AI, enterprise content management, and customer relationships. He held senior roles in Harte-Hanks and Vignette Corporation. He held an EU postdoctoral research fellowship at the University of Edinburgh in Scotland where he started global collaborative research.

    Dr. Rong is on the board of multiple organizations, including the MIT Sloan Alumni Association of Boston from 2009 to 2012. He chaired MIT Sloan CIO Symposium from 2009-2011. He is a senior expert invited by international organizations.

    Dr. Rong holds an M.B.A. in global and innovation leadership from the MIT Sloan School of Management and a Ph.D in numerical computing from the University of Guelph in Canada.

    9:15 AM

    Technology and Inequality in the Age of AI
    Ronald A Kurtz (1954) Professor of Entrepreneurship,
    Professor of Global Economics and Management, MIT Sloan School of Management
    Simon Johnson
    Simon Johnson
    Ronald A Kurtz (1954) Professor of Entrepreneurship,
    Professor of Global Economics and Management

    Simon Johnson is the Ronald A. Kurtz (1954) Professor of Entrepreneurship at the MIT Sloan School of Management, where he is head of the Global Economics and Management group. In 2007-08 he was chief economist at the International Monetary Fund, and he currently co-chairs the CFA Institute Systemic Risk Council. In February 2021, Johnson joined the board of directors of Fannie Mae.

    Johnson’s most recent book, with Daron Acemoglu, Power and Progress: Our 1000-Year Struggle Over Technology and Prosperity, explores the history and economics of major technological transformations up to and including the latest developments in Artificial Intelligence.

    His previous book, with Jonathan Gruber, Jump-Starting America: How Breakthrough Science Can Revive Economic Growth and the American Dream, explained how to create millions of good new jobs around the U.S. through renewed public investment in research and development. This proposal attracted bipartisan support.

    Johnson was previously a senior fellow at the Peterson Institute for International Economics in Washington, D.C., a cofounder of BaselineScenario.com, a member of the Congressional Budget Office’s Panel of Economic Advisors, and a member of the Federal Deposit Insurance Corporation’s Systemic Resolution Advisory Committee. From July 2014 to early 2017, Johnson was a member of the Financial Research Advisory Committee of the U.S. Treasury’s Office of Financial Research (OFR), within which he chaired the Global Vulnerabilities Working Group.

    The Quiet Coup” received over a million views when it appeared in The Atlantic in early 2009. His book 13 Bankers: the Wall Street Takeover and the Next Financial Meltdown (with James Kwak), was an immediate bestseller and has become one of the mostly highly regarded books on the financial crisis. Their follow-up book on U.S. fiscal policy, White House Burning: The Founding Fathers, Our National Debt, and Why It Matters for You, won praise across the political spectrum. Johnson’s academic research papers on long-term economic development, corporate finance, political economy, and public health are widely cited.

    “For his articulate and outspoken support for public policies to end too-big-to-fail”, Johnson was named a Main Street Hero by the Independent Community Bankers of America (ICBA) in 2013.

    According to leaders of the tech sector, the arrival of Artificial Intelligence will “change everything” – about productivity growth, human development, and shared prosperity. In their recent book, Power and Progress: Our Thousand Year Struggle Over Power and Prosperity, Simon Johnson and Daron Acemoglu take the long view – putting the latest AI developments into historical context. AI could help boost the wages and living standards of everyone, but there is a very real danger that it will primarily bring a lot more automation and further widening of income inequality.  

    Simon will talk about the intellectual and policy debates swirling around AI both in the US and around the world. Can we really create “Pro-Worker AI”? What would that take? 

    9:55 AM

    Generative Models as a Data Source for AI Systems
    Phillip Isola
    Phillip Isola is an Associate Professor in MIT’s Department of Electrical Engineering and Computer Science and an investigator in the Computer Science and Artificial Intelligence Laboratory. His work focuses on why we represent the world the way we do and how we can replicate these abilities in machines. Before coming to MIT, he was a visiting research scientist at OpenAI. He earned a PhD in brain and cognitive sciences at MIT and spent two years as a postdoc at the University of California, Berkeley.

    Generative models can now produce realistic and diverse synthetic data in many domains. This makes them a viable choice as a data source for training downstream AI systems. Unlike real data, syntehtic data can be steered and optimized via interventions on the generative process. I will share my view on how this makes synthetic data act like data++, data with additional capabilities. I will discuss advantages and disadvantages of this setting, and show several applications toward problems in computer vision and robotics. 

    10:35 AM

    MIT Professional Education
    Myriam Joseph

    Manager, Business Development and Marketing, MIT Professional Education

    10:40 AM

    Networking Break
    11:05 AM

    AI for Chemistry and Materials: Are We There Yet?

    Jeffrey Cheah Career Development Chair,
    Associate Professor, MIT Department of Materials Science and Engineering

    Rafael Gomez-Bombarelli

    Jeffrey Cheah Career Development Chair,
    Associate Professor, MIT Department of Materials Science and Engineering

    Professor Gómez-Bombarelli received his BS, MS, and PhD in chemistry from the University of Salamanca in Spain, followed by postdoctoral work at Heriot-Watt University in Scotland. As a postdoc at the Aspuru-Guzik lab at Harvard University he worked on high-throughput virtual screening for organic light-emitting diode (OLED) and battery electrolytes. He entered industry in 2016 as a senior researcher at Japanese technology company Kyulux, applying Harvard-licensed technology to build commercial OLED products. He joined the DMSE faculty in 2018. 

    Professor Gómez-Bombarelli’s work has been featured in publications such as MIT Technology Review and the Wall Street Journal. He is co-founder of Calculario, a materials discovery company that uses quantum chemistry and machine learning to target advanced materials in a range of high-value markets.

    AI is having real-world impact in the digital lives of consumers and the operations of companies. Porting over these gains to industries with more tangible products such as drug discovery in biotech, commodity chemicals and materials for energy and sustainability, or manufacturing is an exciting opportunity. Here, we will discuss the current state and the opportunities for the application of (generative) AI in the context of chemistry and materials. In contrast with tech, these are capex-intensive, risk-averse industries where AI needs to close an "execution gap" between the digital and physical words for value creation. We will identify paths to remove existing technical and cultural bottlenecks. 

    11:45 AM

    Startup Exchange Lightning Talks
    12:45 PM

    Lunch with Startup Exhibitors
    2:00 PM

    Afternoon Introduction
    Program Director, MIT Industrial Liaison Program
    Yui Yashiro
    Yui Yashiro
    Program Director

    Before joining MIT Corporate Relations in 2022, Yui Yashiro was Senior Manager, Commercial Insights & Salesforce Operations at Alexion Pharmaceuticals in Boston. As Manager, Commercial Strategy & Operations, she was responsible for reaching group sales targets and leading cultural change projects, including DEI initiatives. Before Alexion, Yashiro was Senior Planning Analyst, Corporate Planning for TeraDiode Inc. (a Panasonic company) in Wilmington, MA, where she led business planning activities. Additionally, she held two roles at Takeda in Tokyo and Osaka. As Chief of Cardiovascular & Metabolic, Shonan Office, Japan Pharma Business Unit, Yashiro was a leader in sales and sales strategy, consistently achieving & surpassing revenue and market share targets for herself and the sales team that she led.

    Yashiro earned her B.A. Education & Human Science at Tsukuba University and her MBA at Ohmae Kenichi Graduate School of Business, both in Japan. 

    2:05 PM

    Scaling Digital Production

    Director, Center for Additive and Digital Advanced Production Technologies (APT)
    Director, Laboratory for Manufacturing and Productivity
    Department Head and Professor, MIT Department of Mechanical Engineering

    John Hart

    Director, Center for Additive and Digital Advanced Production Technologies (APT)
    Director, Laboratory for Manufacturing and Productivity
    Department Head and Professor, MIT Department of Mechanical Engineering

    John Hart is Professor of Mechanical Engineering, Director of the Center for Additive and Digital Advanced Production Technologies, and Director of the Laboratory for Manufacturing and Productivity, at MIT. John’s research group at MIT, the Mechanosynthesis Group, aims to accelerate the science and technology of production via advancements in additive manufacturing, nanostructured materials, and precision machine design. In 2017 and 2018, respectively, he received the MIT Ruth and Joel Spira Award for Distinguished Teaching in Mechanical Engineering and the MIT Keenan Award for Innovation in Undergraduate Education. He is a co-founder of Desktop Metal and VulcanForms, and a Board Member of Carpenter Technology Corporation.

    2:45 PM

    Panel Discussion on AI Generation: From Research to Impactful Use Cases
    Moderators:

    Director of Strategic Industry Engagement, MIT Schwarzman College of Computing 
    MIT Director, MIT-IBM Watson AI Lab 
    Co-lead, MIT AI Hardware Program 
    Senior Research Scientist, CSAIL 

    Aude Oliva
    Aude Oliva

    Director of Strategic Industry Engagement, MIT Schwarzman College of Computing 
    MIT Director, MIT-IBM Watson AI Lab 
    Co-lead, MIT AI Hardware Program 
    Senior Research Scientist, CSAIL 

    Aude Oliva, PhD is the MIT director in the MIT-IBM Watson AI Lab and director of strategic industry engagement in the MIT Schwarzman College of Computing, leading collaborations with industry to translate natural and artificial intelligence research into tools for the wider world. She is also a senior research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where she heads the Computational Perception and Cognition group.

    Oliva has received an NSF Career Award in computational neuroscience, a Guggenheim fellowship in computer science and a Vannevar Bush Faculty Fellowship in cognitive neuroscience. She has served as an expert to the NSF Directorate of Computer and Information Science and Engineering on the topic of human and artificial intelligence. She is currently a member of the scientific advisory board for the Allen Institute for Artificial Intelligence. Her research is cross-disciplinary, spanning human perception and cognition, computer vision  and cognitive neuroscience, and focuses on research questions at the intersection of all three domains. She earned a MS and PhD in cognitive science from the Institut National Polytechnique de Grenoble, France.

    Panelists:

    IBM Director, MIT-IBM Watson AI Lab

    David Cox
    David Cox

    IBM Director, MIT-IBM Watson AI Lab

    David Cox is an IBM Director of the MIT-IBM Watson AI Lab, a first of its kind industry-academic collaboration between IBM and MIT, focused on fundamental research in artificial intelligence. The Lab was founded with a $240m, 10 year commitment from IBM and brings together researchers at IBM with faculty at MIT to tackle hard problems at the vanguard of AI.

    Prior to joining IBM, Cox was the John L. Loeb Associate Professor of the Natural Sciences and of Engineering and Applied Sciences at Harvard University, where he held appointments in Computer Science, the Department of Molecular and Cellular Biology and the Center for Brain Science. Cox has been a speaker and agenda contributor at the World Economic Forum, and he was a Faculty Associate at the Berkman-Klein Center for Internet and Society at Harvard Law School. He has received a variety of honors, including the Richard and Susan Smith Foundation Award for Excellence in Biomedical Research, the Google Faculty Research Award in Computer Science, and the Roslyn Abramson Award for Excellence in Undergraduate Teaching. He has published over 100 peer-reviewed academic articles in the fields of neuroscience and AI.

    His lab at Harvard started several widely-used open source projects, including Hyperopt, one of the first frameworks for hyperparameter optimization of AI models, and Triton (now OpenAI Triton) a framework for accelerated compute on GPUs. While at Harvard, he also co-founded several AI startups, including DeepHealth (acquired by RadNet, Inc.) which developed multiple FDA-cleared AI-based medical imaging solutions which have been deployed at scale.

    Chief Executive Officer, Fujitsu Research of America

    Indradeep Ghosh
    Indradeep Ghosh

    Chief Executive Officer, Fujitsu Research of America

    Indradeep is currently the Chief Executive Officer at Fujitsu Research of America, Sunnyvale. He heads Fujitsu’s research efforts in North America and leads a team of researchers doing cutting edge research in AI, Quantum computing, and Convergence technologies. He has been working in industrial R&D for over 25 years in various areas of hardware and software analysis, quality assurance, and optimization. 
     
    Indradeep received the Bachelor of Technology degree in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, and the M.A. and Ph.D. degree in Electrical Engineering from Princeton University. 

    Co-founder and CEO, Liquid AI
    Machine Learning Research Affiliate, MIT Computer Science and Artificial Intelligence Lab (CSAIL)

    Ramin Hasani

    Co-founder and CEO, Liquid AI
    Machine Learning Research Affiliate, MIT Computer Science and Artificial Intelligence Lab (CSAIL)

    Dr. Ramin Hasani is the co-founder and CEO of Liquid AI and a machine learning Scientist at the Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT). Previously, he was jointly appointed as a Principal AI Scientist at the Vanguard Group ($8.2T AUM) and an AI Researcher at CSAIL MIT. Ramin’s research focuses on robust and explainable deep learning and decision-making in complex dynamical systems. He received his Ph.D. with distinction in Computer Science from TU Wien, Austria (May 2020). His Ph.D. dissertation and continued research on Liquid Neural Networks is recognized internationally with numerous nominations and awards. 

    3:30 PM

    Sloan Executive Education
    3:35 PM

    Networking Break
    4:00 PM

    Digital Twin and AI: Shaping the Future of Real Estate

    Research Scientist, lecturer, and Director of the Real Estate Transformation Lab, MIT Center for Real Estate

    James Scott

    Research Scientist, lecturer, and Director of the Real Estate Transformation Lab, MIT Center for Real Estate

    James Scott is a Research Scientist, lecturer and Director of the Real Estate Transformation Lab at MIT’s Center for Real Estate, with a primary focus on real estate automation and technology. MIT’s Center for Real Estate has a forty year history of pioneering research and thought-leadership that trains generations of professionals to capitalize on today’s dynamic markets, understand transformative technologies and facilitate sustainability goals using its insights from around the globe.  James has written numerous industry papers and gives regular presentations globally on automation, Artificial Intelligence, ‘Proptech’ and the future of innovation across the real estate industry. James combines a background in commercial real estate with a unique understanding of real estate technology to identify the products and processes that will provide the future spaces in which people will want to live and work. 

    Digital twin technology is finally starting to immerse itself across the real estate sector, transforming the way buildings are designed, constructed, operated, and managed. While this technology has long since promised to deliver significant potential benefits across the life of a building it has also encountered many obstacles in its evolution. What are the true practical applications of this technology which can unlock its significant potential and separate fact from fiction. This presentation will provide those across the real estate industry with the current landscape, looking behind the hype to illustrate the benefits of various digital twin applications across different asset types. 

    4:40 PM

    Making Business Sense of AI: Key Questions for Leaders
    George F. Westerman

    George Westerman is a Senior Lecturer at the MIT Sloan School of Management and Founder of the Global Opportunity Initiative.

    George’s work bridges the fields of executive leadership and technology strategy. During more than 20 years with MIT Sloan School of Management, he has written three award-winning books, including Leading Digital: Turning Technology Into Business Transformation. As a pioneering researcher on digital transformation, George has published papers in Harvard Business ReviewSloan Management Review, and other top journals.  He is now focused on helping employers, educators, and other groups to rethink the process of workforce learning around the world through the GOI and several research collaborations.

    George is cochair of the MIT Sloan CIO Leadership Awards, a member of the Digital Strategy Roundtable for the US Library of Congress, and learning strategy advisor to the World Health Organization Academy. He works frequently with senior management teams and industry groups around the world. Prior to earning a Doctorate from Harvard Business School, he gained more than 13 years of experience in product development and technology leadership roles.

    In today’s business environment, every leader must consider the potential of artificial intelligence (AI). However, not every leader feels comfortable doing that. In this engaging session, MIT researcher and digital transformation pioneer George Westerman will provide the information you need to talk about AI and make informed decisions confidently. He’ll demystify AI and provide an executive-level overview of key categories, including generative AI, deep learning, rule-based systems, and other models. Participants will explore practical applications across various sectors, highlighting the transformative potential and potential risks for customer experience, operations, decision-making, and employee careers. This is not a technical discussion; it’s a leadership one that reveals what every leader needs to know about these fast-moving technologies. Audiences will walk away ready to ask the right questions and make the right decisions about leading an organization through the AI revolution.

    5:20 PM

    Networking Reception
  • Day 2 | September 18, 2024
    8:30 AM

    Registration and Light Breakfast
    8:55 AM

    Introduction to Day Two
    9:00 AM

    Data (AI) is Everybody’s Business
    Research Director & Principal Research Scientist,
    Center for Information Systems Research
    Barbara Wixom
    Research Director & Principal Research Scientist,
    Center for Information Systems Research

    Barbara joined MIT Sloan in June 2013 to serve as a Principal Research Scientist at the MIT Sloan Center for Information Systems Research (CISR). MIT CISR was established in 1974 as a non-profit research group, and it currently is funded by 85 corporate sponsors and patrons. The center undertakes practical research on how firms generate business value from digitization. Barbara’s work focuses on how organizations effectively deliver value from their information assets.

    Prior to MIT CISR, Barbara was a tenured faculty member at the University of Virginia (UVA) where she taught undergraduate and graduate courses in data management, business analytics, and IT strategy. She is a two-time recipient of the UVA All-University Teaching Award (2002, 2010), which recognizes teaching excellence in professors, particularly those who inspire and motivate students. This honor is especially meaningful to Barbara because she earned her undergraduate degree at the University of Virginia.

    Since the mid–90’s, Barbara has deeply explored data warehousing, business intelligence, analytics, big data, and AI. Her research ranges from large-scale surveys and meta-analyses to lab experiments and in-depth case studies. Five of her cases have placed in the Society for Information Management Paper Awards competition: First American Corporation (1999), Owens and Minor (2000), Continental Airlines (2004), Sprint (2008), and BBVA (2018). Barbara is a leading academic scholar, publishing in such journals as Information Systems Research; MIT Sloan Management Review; MIS Quarterly; and MIS Quarterly Executive. She presents her work globally to academic and business audiences.

    Barbara serves as associate editor of the Business Intelligence Journal, research fellow of The Data Warehousing Institute, and fellow of the Teradata University Network. In 2017, Barbara was awarded the Teradata University Network Hugh J. Watson Award for her contributions to the data and analytics academic community via the Teradata University Network. She is the author of two leading systems analysis and design textbooks, published by John Wiley & Sons, Inc. She is married and blessed with two daughters.

    In this session, Dr. Barbara Wixom will describe highlights from her MIT Press book Data is Everybody’s Business, which was published by MIT Press in September 2023 and included in Forbes's Top 10 Tech Books Of 2023. The book, co-authored with Dr. Cynthia Beath and Leslie Owens, presents the fundamentals of data monetization and features research and insights developed over three decades. Dr. Wixom will present three principles supported by the book’s content to guide business leaders when making AI investments: invest in practices to build AI capabilities required for AI, involve all your people in your AI journey, and focus on realizing value from your AI projects.

    9:40 AM

    Panel Discussion on Skills, Jobs, and LLMs: How Companies are Redesigning Work as they Deploy AI
    Moderator:
    Executive Director, MIT Industrial Performance Center
    Ben Armstrong
    Executive Director

    Ben Armstrong is the executive director of MIT’s Industrial Performance Center, where he co-leads the Work of the Future initiative. His research examines how workers, firms, and regions adapt to technological change. His current projects include a working group on generative AI, as well as a book on American manufacturing competitiveness. His work has been published or featured in academic and popular outlets including the New York Times, Harvard Business Review, Forbes, Sloan Management Review, Times Higher Education, the Boston Review, Daedalus, and Economic Development Quarterly. He received his PhD from MIT and formerly worked at Google Inc. 

    Panelist:
    Founder, Grow With Google & CMO, Americas Region at Google
    Lisa Gevelber
    Lisa Gevelber
    Founder, Grow With Google & CMO, Americas Region at Google

    Lisa founded and leads Grow with Google, Google’s $1 billion commitment to economic opportunity. Since 2017, Grow with Google has helped over ten million Americans develop new skills to grow their careers or businesses. One of her most significant contributions is the Google Career Certificates, which provide people access to in-demand, well paying jobs regardless of educational background or work experience. Since 2021, these certificates have provided significant upward mobility to half a million job seekers globally. In 2022, Lisa was named in the inaugural Forbes Future Of Work 50, honoring leaders whose impact, reach and creativity has the potential to affect millions of workers.  

    Lisa also leads Google for Startups, which helps level the playing field for underrepresented founders across every corner of the world. She has been the Chief Marketing Officer for the Americas Region at Google for the past 13 years.  Lisa Gevelber has over 30 years experience in General Management, Marketing, and Product Management including over 20 years in Silicon Valley.  Her career spans from early stage startups to Fortune 50 companies, including Intuit and Procter and Gamble. 

    Global Head of CIO Office, ING Tech | Strategy & Transformation
    Marco Eijsackers
    Global Head of CIO Office, ING Tech | Strategy & Transformation

    Marco has over 20 years of professional experience in leadership roles across strategy, marketing, sales, IT, and transformation. Throughout his career, he has increasingly focused on translating strategy into execution and driving transformation. Currently, Marco leads ING’s Tech strategy and transformation to establish a global, scalable tech platform that delivers superior customer experiences and connects ING’s Tech and Business ecosystem.

    He holds a Master in Business Administration from INSEAD, a postgraduate degree from the London Business School, and is a graduate of the Technology Leadership Program at MIT.

    In addition to his role at ING, Marco is a regular speaker at the London Business School and international conferences on topics related to strategy, digital transformation, and agility. He is also closely involved with several start-ups and charities.

    10:25 AM

    Networking Break
    11:05 AM

    Understanding Human-AI Interaction
    Germeshausen Professor
    Professor of Media Technology
    Head, Fluid Interfaces Research Group
    Pattie Maes
    Germeshausen Professor
    Professor of Media Technology
    Head

    Pattie Maes is the Germeshausen Professor of Media Arts and Sciences at the MIT Media Lab. She runs the  Fluid Interfaces research group, which does research at the intersection of Human Computer Interaction and Artificial Intelligence with a focus on applications in health, wellbeing and learning.  Maes is also a faculty member in MIT's center for Neuro-Biological Engineering. She is particularly interested in the topic of cognitive enhancement, or how wearable, immersive and brain-computer interface systems can actively assist people with issues such as memory, attention, learning, decision making, communication,  wellbeing, and sleep. 

    Maes is the editor of four books, and is an editorial board member and reviewer for numerous professional journals and conferences. She has received several awards: Netguru selected her for "Hidden Heroes: the people who shaped  technology (2022), Time Magazine has included several of her designs in its annual list of inventions of the year;  AAAI gave her the "classic paper 2012"  prize, awarded to the most influential AI paper of the year,  Fast Company named her one of 50 most influential designers (2011); Newsweek picked her as one of the "100 Americans to watch for" in the year 2000; TIME Digital selected her as a member of the “Cyber Elite,” the top 50 technological pioneers of the high-tech world; the World Economic Forum honored her with the title "Global Leader for Tomorrow"; Ars Electronica awarded her the 1995 World Wide Web category prize; and in 2000 she was recognized with the "Lifetime Achievement Award" by the Massachusetts Interactive Media Council. She  also received honorary doctorates from the Vrije Universiteit Brussel in Belgium and Open Universiteit, Netherlands, and has given several TED talks. 

    In addition to her academic endeavors, Maes has been an active entrepreneur as co-founder of several venture-backed companies, including Firefly Networks (sold to Microsoft), Open Ratings (sold to Dun & Bradstreet) and Tulip Co (privately held). She is an advisor to several early stage companies, including Earable, Inc, and Spatial, Inc. Prior to joining the Media Lab, Maes was a visiting professor and a research scientist at the MIT Artificial Intelligence Lab. She holds a bachelor's degree in computer science and a PhD in artificial intelligence from the Vrije Universiteit Brussel in Belgium.

    If we want the current AI hype to live up to its expectations, it is critical that we understand how to integrate AI into a human work and life context. In other words, AI is not just an engineering challenge, it is also a human challenge. How do people respond when making decisions with AI? Are there risks in deskilling and over reliance? Maes' group studies how people respond to working with AI and designs novel interfaces to maximize outcomes of close human-AI collaboration. 

    11:45 AM

    Speculative AI

    Visiting Professor, MIT Media Lab
    Professor, Toronto Metropolitan University

    Hossein Rahnama
    Hossein Rahnama

    Visiting Professor, MIT Media Lab
    Professor, Toronto Metropolitan University

    Hossein Rahnama is a Visiting Professor at the MIT Media Lab and a Professor at Toronto Metropolitan University. He is also the Founder of Flybits, an Ai/ Data Science company. His research is focused on the design of Human-AI Systems, data governance for generative Ai, human-computer interaction, and the “system of systems” design of data-driven applications. He has published more than 40 papers and holds 23 patents in computer and data science. He previously served as a council member at NSERC (National Science and Research Engineering Council of Canada) and is currently on the board of directors of Home Capital Group, Canadian Science Publishing and Havergal College. He is a founding fellow at the MIT Connection Science Group and one of the Global Directors of MIT Media Lab’s City Science Group. He is the recipient of Isidore Sharp Outstanding Graduate Award, and he was on MIT Technology Review Global TR35 list (2012) and Canada's Top 40 under 40 (2017). 

    Generative AI has matured in the last year to the point where there is constant speculation about its impact on professional and daily life.  It is now within the purview of individuals to create convincing replicas of people’s voices, images, and actions. We define a deep fake as a synthesized presentation intended to mislead, hence the word “fake.”  In our work, we use synthesis as a tool for exploration and to provoke thought.  We term it “speculative AI” in the sense that while it is not literal it is created for the user’s edification as a means to explore options and express ideas. One example is “Next Week Tonight” where we synthesize tomorrow’s news to reveal possible impacts of externalities on current events.  Another is Open-OpenAI where we draw on what stakeholders assert about AI to express our opinion of what we think they should say. 

    12:05 PM

    Perspective-Aware AI: How AI Allows Us to See How Others Think and Make Decisions? Can We Borrow Each Other’s Personalized AI Models to Make Better Decisions?

    Senior Research Scientist 
    Associate Director, MIT Media Lab

    Andy Lippman
    Andy Lippman

    Senior Research Scientist 
    Associate Director, MIT Media Lab

    Andy Lippman is a Senior Scientist at MIT and founding associate director of the MIT Media Lab.  He got his BS and MS at MIT, and PhD at EPFL, Lausanne. In the 1980s he and his team developed the “Movie-Map” that presaged Google's street view. He helped pioneer visual imaging and communications systems such as MPEG and digital HDTV.  He directs the Media Lab’s Viral Communications research group.  Current work considers “Speculative AI” These are systems that use generative AI to project data into the future as a visual and interactive means of expressing and learning.  

    We define perspective-aware computing as an emerging area of computational innovation in which users of the system can view and interact through each other’s points of view without the need for a centralized recommendation system. To achieve this, we propose a multi-modal neuro-symbolic graph generation approach to construct personalized models known as “Chronicles” from a user’s digital footprint, comprehending an individual’s cognitive and behavioral tendencies in diverse contexts. Applications of our approach enable users of a trusted social network to view and interact with information through each other’s perspective. In summary, we allow individuals to lend their expertise to each other, and advance classic digital personalization techniques toward more participatory systems. This approach has potential in the design of less-biased recommendation systems in areas such as Digital Immortality, peer-to-peer learning, and in general, decentralized computational social systems.

    12:25 PM

    Adjournment with Boxed Lunch