Past Event

2024 MIT AI Conference: Tech, Business, and Ethics

February 28, 2024 - February 29, 2024
2024 MIT AI Conference: Tech, Business, and Ethics

Location

Boston Marriott Cambridge
50 Broadway
Cambridge, MA 02142

Accommodations

To benefit from this discounted rate, guests are encouraged to make their reservations using the provided reservation link by no later than February 9, 2024.

Overview

Over the past year, Artificial Intelligence has been a predominant topic (if not the predominant topic) in just about every field – technology, business, politics, the arts, etc. It is also rapidly evolving, with news that is often dated after just a few weeks, if not days. But what is the status of AI development and policy? And what are the ethical implications of what some call the next step in the evolution of intelligence? How do questions of ethics in AI keep pace with this breakneck speed of development? These and other pressing questions will be the subject of our conference, where leading MIT experts will weigh in on these issues and their impact on business, politics, education, and the overall direction of humanity.


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.

Live Streaming available to ILP members and MIT Community
- Current ILP members and MIT Community members will receive Live Streaming link a week before the conference.

Registration Questions: ocrevents@mit.edu
  • Overview

    Over the past year, Artificial Intelligence has been a predominant topic (if not the predominant topic) in just about every field – technology, business, politics, the arts, etc. It is also rapidly evolving, with news that is often dated after just a few weeks, if not days. But what is the status of AI development and policy? And what are the ethical implications of what some call the next step in the evolution of intelligence? How do questions of ethics in AI keep pace with this breakneck speed of development? These and other pressing questions will be the subject of our conference, where leading MIT experts will weigh in on these issues and their impact on business, politics, education, and the overall direction of humanity.


    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.

    Live Streaming available to ILP members and MIT Community
    - Current ILP members and MIT Community members will receive Live Streaming link a week before the conference.

    Registration Questions: ocrevents@mit.edu

Agenda

  • Day 1 | Wednesday February 28, 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. Gayathri Srinivasan became Executive Director of MIT Corporate Relations beginning February 15, 2024.

    As Executive Director, Dr. Srinivasan leads the growth of the ILP and Startup Exchange, building on a roster of over 200+ member companies, and forging impactful connections between global business leaders and MIT faculty.

    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 mechanism 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 Corporate Relations
    José Ramos
    Program Director

    José Ramos comes to CR from OSRAM (R&D), where he was Head of Engineering and Business Development at Innovation Americas. In his role at OSRAM, Ramos was a strong proponent of the ILP, attended many of our events, and experienced first-hand the OSRAM-ILP relationship. Before OSRAM, Ramos was Project Developer at NORESCO/United Technologies in Westborough, MA, where he managed engineering, sales, marketing, financial and legal teams to implement sustainability projects for industrial, commercial, and institutional customers in the US and the Caribbean. Before that, Ramos was an independent technology consultant for many years focused on Spanish-speaking markets. Ramos has also held positions as Lecturer at MIT (Spanish), Engineering Manager (Shooshanian Engineering), and Mechanical Engineer for Central America and Caribbean projects (Stone & Webster).

    Ramos earned a Bachelor of Science in Mechanical Engineering at MIT and a Master of Arts in Spanish at Boston College. He also completed a one-year Icelandic language program at the University of Reykjavik.

    9:15 AM

    AI Governance: A Framework for a Safe and Thriving AI Sector
    Daniel Huttenlocher
    Daniel Huttenlocher
    Dean

    Daniel Huttenlocher is the inaugural dean of the MIT Stephen A. Schwarzman College of Computing. He began his academic career at Cornell University in 1988, where he was a member of the computer science faculty. In 1998, he chaired the task force that led to the creation of Cornell’s interdisciplinary Faculty of Computing and Information Science, later serving as its dean starting in 2009. In 2012, he became the founding dean of the new Cornell Tech campus in New York City.

    Huttenlocher has extensive industry experience, having served as a scientist and lab director at Xerox’s Palo Alto Research Center for 12 years before leaving to help establish a financial technology startup, Intelligent Markets, in 2000.

    Huttenlocher’s research and scholarship in computer science is broad and interdisciplinary, spanning algorithms, social media, and computer vision. He has earned the Longuet-Higgins Award for Fundamental Advances in Computer Vision (2010), and various fellowships and awards from the National Science Foundation, the Association for Computing Machinery, IEEE, and Phi Beta Kappa.

    He is a member of the boards of directors of Amazon and Corning, and of the John D. and Catherine T. MacArthur Foundation, where he has served as chair since 2018.

    Huttenlocher earned a bachelor’s degree from the University of Michigan in 1980, double-majoring in computer and communication sciences and experimental psychology. An MIT alumnus, he earned an SM in electrical engineering and computer science in 1984 and a PhD in computer science in 1988.

    It is important to achieve broadly beneficial outcomes from the use of AI, including enhancing rather than diminishing human agency, realizing shared prosperity by deploying AI in ways that can create broadly accessible opportunities, consistency with societal norms and civic values, and prioritizing safety. With such objectives in mind, we offer discussion and guidance regarding how AI governance might proceed.

    9:45 AM

    Education and AI
    Hal Abelson
    Hal Abelson
    Class of 1922 Professor

    Prof. Abelson is a Professor of Computer Science and Engineering in the EECS department at MIT and a Fellow of the IEEE. He has received many awards for teaching computer science, including the Bose Award, the Taylor L. Booth Education Award, the ACM Special Interest Group on Computer Science Education Award for Outstanding Contribution to Computer Science Education, and the ACM Karl Karlstrom Outstanding Educator Award.

    Throughout his impressive career, he has played key roles in fostering MIT institutional educational technology initiatives including MIT OpenCourseWare and DSpace, and he has served as co-chair of the MIT Council on Educational Technology.

    His focus on both education and democratizing culture and intellectual resources has made him a leader in this field. He is a founding director of Creative Commons, Public Knowledge, and the Free Software Foundation. Within CSAIL he is also involved with the Internet Policy Research Initiative (IPRI), which collaborates with policy-makers and technologists to improve the trustworthiness and effectiveness of interconnected digital systems like the internet. He is also a co-author of the 2008 book Blown to Bits, which talks about the cultural and political disruptions caused by the information explosion.

    Prof. Abelson is pursuing projects with this overall theme of making information technology more accessible for all.

    10:15 AM

    Networking Break
    10:30 AM

    Faculty Briefings and Panel Discussion
    AI and Machine Learning for Pharmaceutical Supply Chain Management and Logistics
    Elenna Dugundji
    Elenna Dugundji
    Research Scientist

    Elenna Dugundji is a Research Scientist at the MIT Center for Transportation and Logistics. She shapes Supply Chain futures by bringing expertise in demand forecasting, machine learning, and AI to research in main port logistics, involving Network analytics, Optimization of operational processes, Tactical planning, and Strategic asset management.

    • Network analytics - impact of planned road disruption on feeder highways to airports and maritime ports and evaluation of public works maintenance schemes
    • Optimization of operational processes - improvement of import and export processes involving warehousing, airside and landside transport via information sharing and collaborative planning
    • Tactical planning - evaluation of routing and packaging decisions for cold chain logistics of special air cargo (Pharma, Fresh) in the context of economic and environmental sustainability
    • Strategic asset management - strategic decisions in airports and maritime ports related to maintenance of assets and construction of facilities

    In this briefing, several examples will be highlighted of the application of AI and Machine Learning across the Supply Chain for the Pharmaceutical Industry. All examples have been examined in the past two years with students in the MIT CTL Master of Supply Chain Management program. These include: 

    • Procurement – Categorization and Sub-categorization of Unclassified Spend Data
    • Warehousing – Product Demand Forecasting (e.g., to realize minimal moving distance of cranes in an automated warehouse) 
    • Cold Chain Packaging – Analysis of Thermal Conditions of Pharmaceutical Transport Lanes (e.g. to support decision making processes on preferred routes and logistics service options throughout the year) 
    • Cold Chain Distribution – Pharmaceutical Distribution Business Continuity Plan 

    The briefing will conclude with a call for participation in a frontier research project on innovations in supply chain logistics for the pharmaceutical industry.

    AI in Leadership and Ethics
    Senior Lecturer, Communication and Ethics, MIT Sloan School of Management
    Leigh Hafrey
    Leigh Hafrey
    Senior Lecturer, Communication and Ethics

    Leigh Hafrey is Senior Lecturer in Behavioral and Policy Sciences at the MIT Sloan School of Management.  Since 1995, he has offered courses in communication, ethics, and leadership in the MBA and other graduate programs in the U.S. and abroad.  He has also taught at Harvard Business School; served as co-Master of Mather House, one of the undergraduate residences in Harvard College; and for more than 20 years has moderated seminars in programs of the Aspen Institute, an international educational and policy studies organization focused on values-driven leadership.  He serves on the boards of the Green Rural Opportunities Fund, a spin-off of the Butajira, Ethiopia-based GreenPath Food, and ClassACT HR73, an alumni initiative of the Harvard-Radcliffe Class of 1973. 

    A former staff editor at The New York Times Book Review, Hafrey has published translations from French and German and columns, feature articles, essays, reviews, and interviews in The New York Times and other periodicals, as well as blog posts and business case studies for MIT Sloan.  He is the author of two books on values and leadership, The Story of Success:  Five Steps to Mastering Ethics in Business (2005) and War Stories:  Fighting, Competing, Imagining, Leading (2016).  Hafrey holds an A.B. in English Literature from Harvard College and a Ph.D. in Comparative Literature from Yale University.

    Over a century after Wallace Stevens composed “The Snowman,” his one-sentence poem appears to model the objectivity that we seek in successfully engineered AI.  But what narrative follows from the listener’s and the reader’s closing encounter with “nothing”? That moment invites, even imposes, an ethic of mindfulness that differentiates creator from created, (snow-)man from machine.

    11:30 AM

    MIT Horizon
    Kathleen D Kennedy
    Kathleen D Kennedy
    Executive Director

    With multiple leadership roles at MIT, Kathleen is on the front lines of technology and innovation. Right now, she is passionate about AI education, digital transformation, and sustainable fashion. She is a strategic leader with a unique skill set for transforming organizations as well as building new ones. 

    As Executive Director of the MIT Center for Collective Intelligence, Kathleen works with a multidisciplinary research team on Supermind Design, a methodology for designing intelligent human/machine organizations.  She is putting that into practice at MIT Open Learning, where she leads MIT Horizon, a digital learning platform helping organizations to train at scale about emerging technologies such as AI.  

    11:40 AM
    Catarina Madeira
    Director

    Catarina has been working with the Cambridge/Boston startup ecosystem for over 10 years and joined Corporate Relations with a solid network in the innovation and entrepreneurial community. Prior to MIT, she was part of the team that designed and launched the startup accelerator IUL MIT Portugal, which was later rebranded to Building Global Innovators. She was based in Lisbon and worked in direct relation with the Cambridge team. She held positions including Operations Coordinator, Program Manager, and Business Developer. The accelerator soon achieved steady growth in large part due to the partnerships that Catarina led with regional and global startup ecosystems. After that, she worked at NECEC, leading a program that connects cleantech startups and industry. In this role, she developed and built a pipeline of startups and forged strong relationships with both domestic and European companies. She has also held positions in Portugal and France, including at Saboaria e Perfumaria Confiança and L’Oréal as Technical Director and Pharmacist. Catarina earned her bachelor's in chemistry and pharmaceutical sciences in Portugal. She went on to earn her Master of Engineering for Health and Medicines in France. 

    Accelerating Zero-Carbon Materials Powered by Robotics and AI
    Paloma Gonzalez-Rojas
    Co-Founder and CEO, Atacama Biomaterials
    Paloma Gonzalez-Rojas
    Paloma Gonzalez-Rojas
    Co-Founder and CEO

    Paloma Gonzalez-Rojas is an entrepreneur, a Machine learning expert, and a Material Scientist by practice. She earned her Ph.D. at MIT by developing AI tools for simulating pedestrian trajectories. She pivoted to materials AI and engineering at MIT because of her hunger to commercialize renewable materials in the Climate-Tech / Clean-Tech space and became Atacama’s CEO. After five years of research, Paloma and Jose Tomas Dominguez funded Atacama Biomaterials in 2022 and later welcomed Jose Antonio Gonzalez to the founding team as Santiago Lab Managing Director. Our startup, leveraging the MarieCurie AI model developed by MIT Researcher Paloma Gonzalez-Rojas, effectively addresses the plastic crisis by optimizing the production of sustainable packaging materials. This AI application is critical in managing the complexity of diverse biomass inputs, a task beyond human capability, ensuring consistent, high-quality, biodegradable products. Our process dramatically reduces energy consumption to just 11% of traditional methods, aiming for an annual net reduction of 2 gigatons of CO2 after 2035.

    Automate the Future of Alternative Assets with AI
    Francis Huang
    CEO & Co-Founder, Apers_
    Francis Huang
    Francis Huang
    CEO & Co-Founder

    Francis Huang is the co-founder of Apers, an AI autopilot startup for private equity in alternative assets. His professional experience spans investment banking, private equity, and real estate development. With over $1bn deal experience, Francis has extensive international investing experience across different stakeholders of Sovereign Wealth Funds, Pension Funds, and Endowment Funds. Francis holds a Master's degree in Real Estate Investment from Harvard University and a Master's degree in Public Administration from Columbia University. He co-founded Apers with Gavin Guo from MIT EECS.

    Agile Tele Matics Data Analytics for Safer and Greener Roads
    Mazdak Tootkaboni
    Co-Founder, Carbin AI
    Mazdak Tootkaboni
    Mazdak Tootkaboni
    Co-Founder

    Dr. Mazdak Tootkaboni is an Associate Professor of Civil and Environmental Engineering and a member of the Center for Scientific Computing and Data Science Research at UMassD. Dr. Tootkaboni’s research is cross-disciplinary and focuses on drawing upon advances in stochastic modeling, applied statistics, and data analytics to develop techniques that help the engineering community move towards more reliable, resource-efficient, and resilient solutions. Dr. Tootkaboni’s research has been funded by NSF, ONR, MASS DEP, and the UMASS president’s office, as well as the Mobility Industry. He is a recipient of the NSF early CAREER award, University of Massachusetts System President’s Science and Technology award, and the University of Massachusetts Dartmouth Chancellor’s Sponsored Research Recognition. Dr. Tootkaboni is a member of Engineering Mechanics Institute (EMI) and its Probabilistic Mechanics Committee and is one of the co-founders for Carbin AI, a UMass-MIT spinoff focusing on AI for telematics data analytics.

    Where Cutting-Edge Machine Learning Meets Dynamic Pricing
    Ishaan Grover
    Co-Founder, catalan.ai
    Ishaan Grover
    Ishaan Grover
    Co-Founder

    Ishaan Grover is a 3rd year PhD student at the MIT Media Lab. His research interests are in Machine Learning and its applications in the field of human-agent interaction and early-literacy education. Prior to this work, he worked on algorithms to enable reinforcement learning agents to learn from human feedback. In industry, he has interned at Apple, Palantir and Microsoft where he worked on applications ranging from natural language understanding to anomaly detection.

    Develop Fast. Stay Compliant.
    Erez Kaminski
    Founder and CEO, Ketryx
    E Erez Kaminski
    Erez Kaminski
    Founder and CEO

    E Erez Kaminski is the CEO and Founder of Ketryx Corporation, the first and only connected lifecycle management software for MedTech that unifies quality and R&D efforts to deliver safer software. Over the last decade, he worked in industries including computational mathematics, biotech, and energy, helping build monitoring systems for pharmaceutical equipment and AI for medication management.

    Artificial Intelligence for the Real World
    Snejana Shegheva
    Chief Architect, Nara Logics
    Snejana Shegheva
    Snejana Shegheva
    Chief Architect

    Snejana Shegheva brings a deep background in mathematics to her role as chief architect for Nara Logics Synaptic Intelligence Platform, the leading AI platform for decisioning with explainability built in. As part of the Nara Logics team, she works closely with customers to understand their needs to ensure the platform delivers performant, understandable, and responsible AI. Snejana has published research on graphical models and geometric patterns, as they relate to human intelligence, as a part of Georgia Tech’s Design & Intelligence Lab. Her passion is translating complex knowledge in mathematics, cognitive sciences, and large, integrated systems into principles and processes to support engineers in delivering ethical AI solutions.

    Nurturing the Minds of Moms
    Bindu Chanagala
    Co-Founder and Chief Product Officer, Nurtur
    Bindu Chanagala
    Bindu Chanagala
    Co-Founder and Chief Product Officer

    Bindu Chanagala is the Co-Founder and Chief Product Officer at nurtur, the only digital health application that predicts and prevents postpartum depression using the power of AI. Fueled by personal connection and the need for improvements in women’s health, she is focused on ensuring this solution reaches women impacted by postpartum depression. Bindu’s story is about impact. She began her healthcare journey at Intermountain Health and SelectHealth where she honed her leadership skills, rising from an engineer to leadership roles, spearheading quality initiatives and fostering innovation. Streamlining processes at SelectHealth, leading engineering teams to improve operations through automation, and being part of the development of predictive risk models are just a few of her accomplishments. She has a bachelor’s degree in computer science and MBA from MIT Sloan School of Management.

    Building Image-Based Enterprise Platforms for Drug Screening, Design and Bio-Manufacturing
    Kevin Christopher
    Co-Founder and CEO, Quantiscope
    Kevin Christopher
    Kevin Christopher
    Co-Founder and CEO

    Kevin Christopher, JD/MBA, is co-founder and CEO of Quantiscope. He is a widely recognized leader at the nexus of impact and innovation. He leads Quantiscope from the Altitude Lab in Salt Lake City.

    Right is Might
    Fadi Micaelian
    CEO, Sparkdit
    Fadi Micaelian
    Fadi Micaelian
    CEO

    Fadi Micaelian is a seasoned enterprise software executive. Over the past three decades he has served in a number of senior positions at industry leaders like Oracle, BroadVision, Intellectual Ventures, and DataBeam (now IBM). He is also a serial entrepreneur, currently serving as a CEO at Sparkdit, the 3rd start-up he founded. Fadi is a distinguished scholar. He lectures at ASU and USF. As an inventor, his work has been published extensively and he was awarded 8 highly cited AI/ML patents by the USPTO. He is passionate about Technology, Physics and Track and Field. Fadi holds a BS in Physics, a BE in Engineering, and obtained an MS from MIT, and an MBA from INSEAD.

    12:30 PM

    Lunch with Startup Exhibit
    1:30 PM

    Responsible Generative AI in Research
    MIT Director, MIT-IBM Watson AI Lab
    Director of Strategic Industry Engagement, MIT Schwarzman College of Computing
    Aude Oliva
    Aude Oliva
    MIT Director, MIT-IBM Watson AI Lab
    Director of Strategic Industry Engagement

    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.

    Focusing on the governance and regulatory angles of developing generative AI for academic research, this talk will discuss recent developments in the US and the EU regarding responsible AI models, focusing on the dataset used to train models, the capabilities and failure modes of foundation models, and the impact of scaling models.

    1:50 PM

    Industry Panel Discussion
    Moderator:
    Program Director, MIT Corporate Relations
    José Ramos
    Program Director

    José Ramos comes to CR from OSRAM (R&D), where he was Head of Engineering and Business Development at Innovation Americas. In his role at OSRAM, Ramos was a strong proponent of the ILP, attended many of our events, and experienced first-hand the OSRAM-ILP relationship. Before OSRAM, Ramos was Project Developer at NORESCO/United Technologies in Westborough, MA, where he managed engineering, sales, marketing, financial and legal teams to implement sustainability projects for industrial, commercial, and institutional customers in the US and the Caribbean. Before that, Ramos was an independent technology consultant for many years focused on Spanish-speaking markets. Ramos has also held positions as Lecturer at MIT (Spanish), Engineering Manager (Shooshanian Engineering), and Mechanical Engineer for Central America and Caribbean projects (Stone & Webster).

    Ramos earned a Bachelor of Science in Mechanical Engineering at MIT and a Master of Arts in Spanish at Boston College. He also completed a one-year Icelandic language program at the University of Reykjavik.

    Panelists:
    MIT Director, MIT-IBM Watson AI Lab
    Director of Strategic Industry Engagement, MIT Schwarzman College of Computing
    Aude Oliva
    Aude Oliva
    MIT Director, MIT-IBM Watson AI Lab
    Director of Strategic Industry Engagement

    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.

    Principal Research Scientist, IBM Research AI and, MIT-IBM Watson AI Lab
    Prasanna Sattigeri
    Prasanna Sattigeri
    Principal Research Scientist, IBM Research AI and

    Prasanna Sattigeri is a Principal Research Scientist at IBM Research AI and the MIT-IBM Watson AI Lab, where his primary focus is on developing reliable AI solutions. His research interests are broad and encompass areas such as generative modeling, uncertainty quantification, and learning with limited data. His current projects are focused on the governance and safety of large language models (LLMs), aiming to establish both theoretical frameworks and practical systems that ensure these models are reliable and interpretable. He has played a significant role in the development of several well-known open-source trustworthy AI toolkits, including AI Fairness 360, AI Explainability 360, and Uncertainty Quantification 360.

    Sr. Director Robot Perception & AI, Symbotic
    Teddy Ort
    Teddy Ort
    Sr. Director Robot Perception & AI

    Teddy Ort is the Sr. Director Robot Perception & AI at Symbotic.

    2:30 PM

    Resilient AI-Enabled Business Processes and Systems
    J Spencer Standish (1945) Professor of Management
    Professor of Operations Management, MIT Sloan School of Management
    Retsef Levi
    J Spencer Standish (1945) Professor of Management
    Professor of Operations Management

    Retsef Levi is the J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management. He is a member of the Operations Management Group at Sloan and affiliated with the Operations Research Center. Before coming to MIT, he spent a year in the Department of Mathematical Sciences at the IBM T.J. Watson Research Center as the holder of the Goldstine Postdoctoral Fellowship. He received a Bachelor's degree in Mathematics from Tel-Aviv University (Israel) in 2001, and a PhD in Operations Research from Cornell University in 2005. Levi spent more than 11 years in the Israeli Defense Forces as an Officer in the Intelligence Wing and was designated as an Extra Merit Officer. After leaving the Military, Levi joined and emerging new Israeli hi-tech company as a Business Development Consultant.

    Levi's current research is focused on the design of analytical data-driven decision support models and tools addressing complex business and system design decisions under uncertainty in areas, such as health and healthcare management, supply chain, procurement and inventory management, revenue management, pricing optimization and logistics. He is interested in the theory underlying these models and algorithms, as well as their computational and organizational applicability in practical settings. Levi is leading several industry-based collaborative research efforts with some of the major academic hospitals in the Boston area, such as Mass General Hospital (MGH), Beth Israel Deaconess Medical Center (BIDMC), Children’s Hospital, and across the US (e.g., Memorial Sloan Kettering Cancer Center, NYC Prebyterian Hospital System and the American Association of Medical Colleges). Levi is the lead PI on an MIT contract with the Federal Drug Administration (FDA) to develop systematic risk management approach to address risk related to economically motivated adulterations of food and drug products manufactured in China. He has also been involved in developing operational risk and process safety management methodologies for various organizations, in the healthcare, pharmaceutical and oil industries. Levi received the NSF Faculty Early Career Development award, the 2008 INFORMS Optimization Prize for Young Researchers and the 2013 Daniel H. Wagner Prize.

    3:15 PM

    Networking Break
    3:30 PM

    Legal Regenerative AI
    Boeing Professor of Operations Research
    Co-Director, Operations Research Center (ORC)
    Faculty Director, Master of Business Analytics, MIT Sloan School of Management
    Dimitris Bertsimas
    Dimitris Bertsimas
    Boeing Professor of Operations Research
    Co-Director, Operations Research Center (ORC)
    Faculty Director, Master of Business Analytics

    Dimitris Bertsimas is the Boeing Professor of Operations Research, the codirector of the Operations Research Center, and faculty director of the Master of Business analytics at MIT. His research interests include optimization, machine learning and applied probability and their applications in health care, finance, operations management, and transportation. Bertsimas has coauthored more than 200 scientific papers and four graduate level textbooks. He is the editor in Chief of INFORMS Journal of Optimization. He has supervised 67 doctoral students and is currently supervising 25 others. Bertsimas is a member of the National Academy of Engineering, an INFORMS fellow, and has received numerous prestigious research and teaching awards. He holds an SM in applied mathematics and a PhD in operations research from MIT.

    In these early days of readily accessible Generative AI, the benefits are often hard to quantify.  This talk will give a concrete example of the potential power of this technology during something as complex and time-consuming as a legal negotiation.

    4:00 PM

    Generative AI, Ethics and Work of the Future
    Interactive Robotics Group Leader, MIT CSAIL
    H.N. Slater Professor, MIT Department of Aeronautics and Astronautics
    Julie Shah
    Interactive Robotics Group Leader, MIT CSAIL
    H.N. Slater Professor

    Julie Shah is the H.N. Slater Professor of Aeronautics and Astronautics at MIT and leads the Interactive Robotics Group of the Computer Science and Artificial Intelligence Laboratory. Shah received her SB (2004) and SM (2006) from the Department of Aeronautics and Astronautics at MIT, and her PhD (2010) in Autonomous Systems from MIT. Before joining the faculty, she worked at Boeing Research and Technology on robotics applications for aerospace manufacturing. She has developed innovative methods for enabling fluid human-robot teamwork in time-critical, safety-critical domains, ranging from manufacturing to surgery to space exploration. Her group draws on expertise in artificial intelligence, human factors, and systems engineering to develop interactive robots that emulate the qualities of effective human team members to improve the efficiency of human-robot teamwork. In 2014, Shah was recognized with an NSF CAREER award for her work on “Human-aware Autonomy for Team-oriented Environments," and by the MIT Technology Review TR35 list as one of the world’s top innovators under the age of 35. Her work on industrial human-robot collaboration was also recognized by the Technology Review as one of the 10 Breakthrough Technologies of 2013, and she has received international recognition in the form of best paper awards and nominations from the International Conference on Automated Planning and Scheduling, the American Institute of Aeronautics and Astronautics, the IEEE/ACM International Conference on Human-Robot Interaction, the International Symposium on Robotics, and the Human Factors and Ergonomics Society.

    4:45 PM

    Adjournment with Networking Reception
  • Day 2 | Thursday February 29, 2024: Generative AI and Work of the Future
    8:30 AM

    Registration and Light Breakfast
    9:00 AM

    Welcome and Introduction
    Sheri Brodeur
    Director

    Sheri Brodeur is a Director of Corporate Relations at MIT. Prior to this, she spent 22 years at Hewlett-Packard Company in several roles. Her most recent position was in the HP Labs Strategy and Innovation Office. The role of this organization is to set HP Labs' research strategy and extend HP's internal research capacity by partnering with universities, governments, and other companies on a global scale to rapidly advance the positive impact of technology on the world.

    Sheri spent 15 years with HP Labs, HP's corporate researcher center, managing major university alliances and programs, including a $25M program with MIT. She has been responsible for managing global higher education technology programs in the areas of Security, Digital Libraries (DSpace), Information Management, and Sustainability.

    Prior to this role she spent the previous eight years at Hewlett-Packard in the sales organization moving from the position of Field Sales Engineer to Global Account Manager. In this role she was responsible for selling, supporting and delivering high end test and measurement solutions for the communications industry.

    Brodeur has a BS in Ceramic Engineering from Alfred University and an MS in Solid State Science from the Materials Research Laboratory at Penn State University.

    9:05 AM

    Overview of Generative AI and Work of the Future Working Group
    Executive Director, MIT Industrial Performance Center
    Ben Armstrong
    Executive Director

    Ben Armstrong is the executive director of MIT’s Industrial Performance Center. His research and teaching examine how workers, firms, and regions adapt to technological change. In his work, Ben has collaborated with governments, non-profit organizations, and firms to understand how scholarship and education can be useful to practitioners and policymakers. Previously, he worked for Google Inc. and served on the board of an open-source hardware non-profit. Ben received his PhD from MIT.

    9:15 AM

    Generative AI and Work of the Future Industry Panel
    Moderator:
    Executive Director, MIT Industrial Performance Center
    Ben Armstrong
    Executive Director

    Ben Armstrong is the executive director of MIT’s Industrial Performance Center. His research and teaching examine how workers, firms, and regions adapt to technological change. In his work, Ben has collaborated with governments, non-profit organizations, and firms to understand how scholarship and education can be useful to practitioners and policymakers. Previously, he worked for Google Inc. and served on the board of an open-source hardware non-profit. Ben received his PhD from MIT.

    Panelists:
    Chief Information Officer and SVP, Digital, Brigham and Women's Hospital
    Adam Landman, MD
    Chief Information Officer and SVP, Digital

    As Brigham and Women's Hospital's Chief Information Officer and SVP, Digital, Adam Landman, MD, MS, MIS, MHS, is responsible for maintaining a focus on excellence while developing system-wide strategic IT initiatives, with the goal of evolving the next generation of information systems across the BH enterprise. Landman is board certified in Emergency Medicine and Clinical Informatics.

    He joined BWH in 2010 as director of Clinical Information in the Department of Emergency Medicine, where he led the project to move BWH ED clinicians from paper-based to electronic documentation. He also led the team that built the CliniCam mobile app, a secure and convenient image sharing app for acquiring digital images and storing them in the electronic health record, which was made available for all clinical users in the hospital.

    He previously served the hospital as the chief medical information officer for Health Information Innovation & Integration, where he oversaw a range of BH PeC responsibilities, such as the local implementation of the Sunquest laboratory information system and integration with Epic, with a novel positive patient identification specimen collection solution that has reduced laboratory specimen errors for inpatients. He had also been driving efforts at both the local and industry levels to improve the experience of hospital patients and visitors, strengthening the innovation culture at BWHC through programs like the Innovation Hub, and collaborating with external digital health companies and start-ups.

    Landman received his MD from the University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School and trained in Emergency Medicine at UCLA Medical Center. He was a Robert Wood Johnson Foundation Clinical Scholar at Yale University, where he also received his masters of Health Sciences. He completed graduate degrees in Information Systems and Health Care Policy and Management at Carnegie Mellon University.

    Chief Digital & Information Officer, Cushman & Wakefield
    Sal Companieh
    Sal Companieh
    Chief Digital & Information Officer

    As Chief Digital & Information Officer, Sal Companieh is responsible for providing solutions that improve Cushman & Wakefield’s operations, enhance client service and drive new business. Sal has over 20 years of consulting experience in process and technology transformation and has led the firm through numerous acquisition integrations as well as implementations of global platforms. 

    Sal joined Cushman & Wakefield in 2011 as Vice President, Global Applications, and since that time has held technology leadership positions across the business, most recently as co-Chief Information Officer (CIO). She also previously served as CIO, Corporate Solutions, where she was responsible for building processes that collect, curate and optimize enterprise, client and property data, and as CIO for the firm’s facility services business, C&W Services. Prior to joining the firm, Sal was an independent consultant at Covidien and held senior technology positions at IBM and Lindt & Sprüngli.

    Sal is an active mentor of colleagues throughout the organization and has proven success fostering diverse, high-performing, cross-functional teams who lead digitization of business-critical workflows while elevating data maturity. She is a member of T200, whose mission is to foster, celebrate and advance women’s leadership in tech. Sal holds a B.S. in Industrial Distribution Management from the University of Illinois.

    Director of AI, Automation, and Workforce Science, IBM
    Jonathan DeBusk
    Director of AI, Automation, and Workforce Science

    Jonathan DeBusk is the Director of AI, Automation, and Workforce Science at IBM.

    10:15 AM

    Networking Break
    10:30 AM

    Generative AI and the Work of the Future: Perspectives from the Financial Services, Healthcare and Transportation Sectors
    Can Generative AI Provide Trusted Financial Advice?
    Andrew Lo
    Charles E. and Susan T. Harris Professor and the Director of the Laboratory for Financial Engineering, MIT Sloan School of Management
    Andrew Lo
    Andrew Lo
    Charles E. and Susan T. Harris Professor and the Director of the Laboratory for Financial Engineering

    Andrew W. Lo is the Charles E. and Susan T. Harris Professor, a Professor of Finance, and the Director of the Laboratory for Financial Engineering at the MIT Sloan School of Management.

    Lo's current research spans three areas: evolutionary models of investor behavior and adaptive markets, artificial intelligence and financial technology, and healthcare finance. Recent projects include: an evolutionary explanation for bias and discrimination and how to reduce their effects; a new analytical framework for measuring the impact of impact investing; the potential for large language models to provide trustworthy financial advice to retail investors; and new statistical tools for predicting clinical trial outcomes, incorporating patient preferences into the drug approval process, and accelerating biomedical innovation via novel business, financing, and payment models.

    Lo has published extensively in academic journals (see http://alo.mit.edu) and his most recent book is Adaptive Markets: Financial Evolution at the Speed of Thought.  His awards include Batterymarch, Guggenheim, and Sloan Fellowships; the Paul A. Samuelson Award; the Eugene Fama Prize; the IAFE-SunGard Financial Engineer of the Year; the Global Association of Risk Professionals Risk Manager of the Year; the Harry M. Markowitz Award; the Managed Futures Pinnacle Achievement Award; one of TIME’s “100 most influential people in the world”; and awards for teaching excellence from both Wharton and MIT. His book Adaptive Markets has also received a number of awards, listed here. He is a Fellow of Academia Sinica; the American Academy of Arts and Sciences; the Econometric Society; and the Society of Financial Econometrics.

    Lo is also a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory, an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science, an external faculty member of the Santa Fe Institute, and a research associate of the National Bureau of Economic Research. He is a member of the New York Federal Reserve Board’s Financial Advisory Roundtable, FINRA’s Economic Advisory Committee, the National Academy of Sciences Board on Mathematical Sciences and Their Applications, Beth Israel Deaconess Medical Center’s Board of Overseers, and the boards of Roivant Sciences and the Whitehead Institute for Biomedical Research.

    Lo holds a BA in economics from Yale University and an AM and PhD in economics from Harvard University.

    The Jagged Frontier of Generative AI
    Kate Kellogg
    David J. McGrath JR (1959) Professor of Management and Innovation
    Professor, Work and Organization Studies, MIT Sloan School of Management
    Kate Kellogg
    Kate Kellogg
    David J. McGrath JR (1959) Professor of Management and Innovation
    Professor, Work and Organization Studies

    Kate Kellogg is the David J. McGrath Jr Professor of Management and Innovation, a Professor of Business Administration at the MIT Sloan School of Management.

    Kate's research focuses on helping knowledge workers and organizations develop and implement Predictive and Generative AI products, on-the-ground in everyday work, to improve decision making, collaboration, and learning. She shows how organizations can gain user acceptance and effective use of intelligent products and services by including users in the technology design process, providing training to give employees the skills they need to work with intelligent technologies, and designing the technologies with employees in mind.

    She has authored dozens of articles that have appeared in top journals across the fields of management, organization studies, healthcare, sociology, work and employment, and information systems research. Her research has won awards from the Academy of Management, the American Sociological Association, the Alfred P. Sloan Foundation, the Institute for Operations Research and the Management Sciences, and the National Science Foundation.

    Over the past decade, Kate has partnered with for-profit and not-for-profit organizations to help improve collaboration among diverse experts, use technologies to improve internal knowledge sharing, and manage the human aspects of new technology implementation in order to thrive in fast-paced and uncertain contexts.

    Before coming to MIT Sloan, Kate worked as a management consultant for Bain & Company and for Health Advances. She received her PhD in organization studies from MIT, her MBA from Harvard, and her BA from Dartmouth in biology and psychology.

    GenAI in City and Transportation Planning
    Professor of Cities and Transportation
    Founder, MIT Mobility Initiative
    Jinhua Zhao
    Jinhua Zhao
    Professor of Cities and Transportation
    Founder

    Jinhua Zhao is the Professor of Cities and Transportation at the Massachusetts Institute of Technology (MIT). Prof. Zhao integrates behavioral and computational thinking to decarbonize the world’s mobility system.

     

    Prof. Zhao founded the MIT Mobility Initiative, coalescing the Institute’s efforts on transportation research, education, entrepreneurship, and engagement. He hosts the MIT Mobility Forum, highlighting transportation innovation from MIT and across the globe. 

    Prof. Zhao directs the JTL Urban Mobility Lab and Transit Lab, leading long-term collaborations with transportation authorities and operators worldwide and enabling cross-culture learning between cities in North America, Asia, and Europe. 

    Prof. Zhao leads the program “Mens, Manus, and Machina (M3S): How AI Impacts the Future of Work and Future of Learning” at the Singapore MIT Alliance for Research and Technology (SMART).

    He is the co-founder and chief scientist for TRAM.Global, a mobility decarbonization venture. 

    Research Interest

    He brings behavioral science and transportation technology together to shape travel behavior, design mobility systems, and reform urban policies. He develops computational methods to sense, predictnudge, and regulate travel behavior and designs multimodal mobility systems that integrate automated and shared mobility with public transport. He sees transportation as a language to describe a person, characterize a city, and understand an institution and establishes the behavioral foundation for transportation systems and policies. 

    11:30 AM

    Panel Discussion
    Moderator:
    Head of Economic Policy Research, Google
    Guy Ben-Ishai
    Guy Ben-Ishai
    Head of Economic Policy Research

    Dr. Guy Ben-Ishai serves as the Head of Economic Policy Research at Google. Prior to joining Google, he completed three years of distinguished public service as a senior government official and the Chief Economist at the New York State’s Attorney General’s Office.

    Earlier in his career, Dr. Ben-Ishai served as a private consultant in both testifying and consulting roles. He was also a Visiting Fellow at the Milken Institute in California and a Visiting Scholar at the University of Toulouse in France. Dr. Ben-Ishai holds a Ph.D. from the Hebrew University of Jerusalem and a Bachelor of Arts from the University of California, Los Angeles.

    Panelists:
    Charles E. and Susan T. Harris Professor and the Director of the Laboratory for Financial Engineering, MIT Sloan School of Management
    Andrew Lo
    Andrew Lo
    Charles E. and Susan T. Harris Professor and the Director of the Laboratory for Financial Engineering

    Andrew W. Lo is the Charles E. and Susan T. Harris Professor, a Professor of Finance, and the Director of the Laboratory for Financial Engineering at the MIT Sloan School of Management.

    Lo's current research spans three areas: evolutionary models of investor behavior and adaptive markets, artificial intelligence and financial technology, and healthcare finance. Recent projects include: an evolutionary explanation for bias and discrimination and how to reduce their effects; a new analytical framework for measuring the impact of impact investing; the potential for large language models to provide trustworthy financial advice to retail investors; and new statistical tools for predicting clinical trial outcomes, incorporating patient preferences into the drug approval process, and accelerating biomedical innovation via novel business, financing, and payment models.

    Lo has published extensively in academic journals (see http://alo.mit.edu) and his most recent book is Adaptive Markets: Financial Evolution at the Speed of Thought.  His awards include Batterymarch, Guggenheim, and Sloan Fellowships; the Paul A. Samuelson Award; the Eugene Fama Prize; the IAFE-SunGard Financial Engineer of the Year; the Global Association of Risk Professionals Risk Manager of the Year; the Harry M. Markowitz Award; the Managed Futures Pinnacle Achievement Award; one of TIME’s “100 most influential people in the world”; and awards for teaching excellence from both Wharton and MIT. His book Adaptive Markets has also received a number of awards, listed here. He is a Fellow of Academia Sinica; the American Academy of Arts and Sciences; the Econometric Society; and the Society of Financial Econometrics.

    Lo is also a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory, an affiliated faculty member of the MIT Department of Electrical Engineering and Computer Science, an external faculty member of the Santa Fe Institute, and a research associate of the National Bureau of Economic Research. He is a member of the New York Federal Reserve Board’s Financial Advisory Roundtable, FINRA’s Economic Advisory Committee, the National Academy of Sciences Board on Mathematical Sciences and Their Applications, Beth Israel Deaconess Medical Center’s Board of Overseers, and the boards of Roivant Sciences and the Whitehead Institute for Biomedical Research.

    Lo holds a BA in economics from Yale University and an AM and PhD in economics from Harvard University.

    David J. McGrath JR (1959) Professor of Management and Innovation
    Professor, Work and Organization Studies, MIT Sloan School of Management
    Kate Kellogg
    Kate Kellogg
    David J. McGrath JR (1959) Professor of Management and Innovation
    Professor, Work and Organization Studies

    Kate Kellogg is the David J. McGrath Jr Professor of Management and Innovation, a Professor of Business Administration at the MIT Sloan School of Management.

    Kate's research focuses on helping knowledge workers and organizations develop and implement Predictive and Generative AI products, on-the-ground in everyday work, to improve decision making, collaboration, and learning. She shows how organizations can gain user acceptance and effective use of intelligent products and services by including users in the technology design process, providing training to give employees the skills they need to work with intelligent technologies, and designing the technologies with employees in mind.

    She has authored dozens of articles that have appeared in top journals across the fields of management, organization studies, healthcare, sociology, work and employment, and information systems research. Her research has won awards from the Academy of Management, the American Sociological Association, the Alfred P. Sloan Foundation, the Institute for Operations Research and the Management Sciences, and the National Science Foundation.

    Over the past decade, Kate has partnered with for-profit and not-for-profit organizations to help improve collaboration among diverse experts, use technologies to improve internal knowledge sharing, and manage the human aspects of new technology implementation in order to thrive in fast-paced and uncertain contexts.

    Before coming to MIT Sloan, Kate worked as a management consultant for Bain & Company and for Health Advances. She received her PhD in organization studies from MIT, her MBA from Harvard, and her BA from Dartmouth in biology and psychology.

    Professor of Cities and Transportation
    Founder, MIT Mobility Initiative
    Jinhua Zhao
    Jinhua Zhao
    Professor of Cities and Transportation
    Founder

    Jinhua Zhao is the Professor of Cities and Transportation at the Massachusetts Institute of Technology (MIT). Prof. Zhao integrates behavioral and computational thinking to decarbonize the world’s mobility system.

    Prof. Zhao founded the MIT Mobility Initiative, coalescing the Institute’s efforts on transportation research, education, entrepreneurship, and engagement. He hosts the MIT Mobility Forum, highlighting transportation innovation from MIT and across the globe. 

    Prof. Zhao directs the JTL Urban Mobility Lab and Transit Lab, leading long-term collaborations with transportation authorities and operators worldwide and enabling cross-culture learning between cities in North America, Asia, and Europe. 

    Prof. Zhao leads the program “Mens, Manus, and Machina (M3S): How AI Impacts the Future of Work and Future of Learning” at the Singapore MIT Alliance for Research and Technology (SMART).

    He is the co-founder and chief scientist for TRAM.Global, a mobility decarbonization venture. 

    Research Interest

    He brings behavioral science and transportation technology together to shape travel behavior, design mobility systems, and reform urban policies. He develops computational methods to sense, predictnudge, and regulate travel behavior and designs multimodal mobility systems that integrate automated and shared mobility with public transport. He sees transportation as a language to describe a person, characterize a city, and understand an institution and establishes the behavioral foundation for transportation systems and policies. 

    12:00 PM

    Adjournment with Bagged Lunch