Navigating the Digital Future: AI and Technology Strategy
Book your hotel room with a group rate ($269+tax). A limited block of rooms has been reserved at the Marriott. Please make your reservation using the reservation link by March 13, 2026.
Review our 2025 AI Conference summary and examine the year’s key developments.
Recordings will be available exclusively to ILP members. To learn more about becoming a member, click here.
AI is advancing faster than many organizations can adapt, raising urgent questions about how emerging technologies can be deployed reliably and at scale. The 2026 MIT AI Conference looks ahead to the next chapter of AI—examining not only what is possible, but what is practical, responsible, and achievable in the years to come.
The conference highlights MIT’s most influential work from the past year and the promising future it is shaping. The program includes topics such as future AI architectures, AI management and deployment, AI applications, social impact, and policy. Together, these themes offer a forward-looking view of where AI is headed—and how society can prepare.
*Current MIT Community: Livestream registration must be completed with an mit.edu email address.
**STEX Community: please email ocrevents@mit.edu for complimentary access.
Cancellation Policy: You may cancel your registration for a full refund through April 7. Refunds will be issued to the original form of payment. After April 7, partial refunds will be available, minus a service fee ($300 for in-person registrations and $100 for virtual). No refunds will be issued after April 13. To cancel, please email ocrevents@mit.edu.
MIT Alum, Sloan Exec Ed, and Professional Education Member: Please email ocrevents@mit.edu for a 70% discount code.
Visiting MIT: https://www.mit.edu/visitmit/ Where to Stay: https://institute-events.mit.edu/visit/where-to-stay Registration Questions: ocrevents@mit.edu
The agenda will be announced soon.
Samuel A. Goldblith Career Development Professor, MIT Assistant Professor, MIT Department of Electrical Engineering and Computer Science Assistant Professor, MIT Schwarzman College of Computing
Yunha Hwang is an Assistant Professor at MIT with a shared appointment between Biology, EECS, and the Schwarzman College of Computing. She is also a Co-founder and Chief Scientist at Tatta Bio, a scientific nonprofit dedicated to advancing genomic AI for biological discovery. She completed her Ph.D. in Biology from Harvard University and B.S. in Computer Science from Stanford University. Her research interests span machine learning for sustainable biomanufacturing, microbial evolution, and open science.
Microbial genomes encode the largest molecular, biochemical and functional diversity on Earth, however, much of this diversity remains uncharacterized. Dr. Hwang's talk will focus on machine learning models and experimental approaches to discover and design novel microbial functions.These approaches enable more systematic identification of microbial capabilities and have applications in biomanufacturing, natural product discovery, and microbial technologies.