The 40th Annual AAAI Conference on Artificial Intelligence
January 20 – January 27, 2026 | Singapore

AAAI-26 Bridge Program
Sponsored by the Association for the Advancement of Artificial Intelligence
January 20-21, 2026 | Singapore EXPO | Singapore
Important Dates for Bridge Organizers and Authors
Note: Bridge may have their own deadlines for submissions and notifications. All deadlines are “anywhere on earth” (UTC-12)
- Friday, October 31, 2025: Bridge Submissions Due to Organizers
- Friday, November 14, 2025: Notifications Sent to Authors
- Saturday, December 13, 2025: All Materials for Participants Posted by Organizers
- Sunday, December 14, 2025: AAAI-25 Early Registration Deadline
- January 20-21, 2026: AAAI-26 Bridge Program
Call for Participation
AAAI is pleased to present the AAAI-26 Bridge Program. Bridges will be held Tuesday and Wednesday, January 20-21, 2026. The AAAI-26 bridge program includes 9 Bridges covering a wide range of topics in artificial intelligence. Bridges are one day unless otherwise noted in the individual descriptions. Registration for the program is open to all interested individuals and required to participate. Bridge registration will be available as an add-on for AAAI-26 technical registrants as well.
The Goal of Creating Bridges
AAAI has incubated numerous AI sub-disciplines and conferences and has nurtured for decades the cohesion of AI. New communities often emerge when two or more disciplines come together in order to explore new opportunities and perspectives; today both are plentiful. The purpose of the AAAI Bridges Program is to tap into this new source of innovation by cultivating sustained collaboration between two or more communities, directed towards a common goal. Our interpretation of bridge is broad and encompasses disciplines both within and outside of AI. Hence, the communities that the AAAI Bridges Program brings together could be distinct subfields of AI, such as planning and learning, or different disciplines that contribute to and benefit from AI, such as AI and the humanities.
A successful bridge frequently focuses different perspectives towards a common vision and may be sparked, for example, by a social need, technological disruption or fundamental scientific question. In addition, a successful bridge is nurtured over a period of time through a suite of synergistic activities that include outreach, technical collaboration and education. Outreach engages a rich community of researchers, stakeholders, users and funders; effective collaboration stimulates technical discussion at every level, and education trains the next generation on what has been learned.
Submission Requirements
Submission requirements vary for each bridge. Submissions are due to the organizers on October 31, 2025 (please check individual bridge websites for extensions). Please submit your papers for review directly to the individual bridge according to their directions. Do not mail submissions to AAAI. Bridge organizers will notify submitters of acceptance by November 14, 2025, unless otherwise noted on their supplementary website. If the organizer is planning a formal publication, they will provide specific information about how to submit camera-ready copy. For further information about a Bridge, please contact the chair of that Bridge.
Formats
AAAI two-column format is often preferred, but not required, for bridge submissions. The AAAI 2026 Author Kit with style files, macros, and guidelines for this format is linked below. (Note that the 2026 author kit includes a AAAI copyright slug, which should be removed for workshop publications.)
For More Information
General workshop related inquires should be directed to bridge@aaai.org. All other inquiries should be directed to AAAI at aaai26@aaai.org.
AAAI-26 Bridge Co-Chairs
Nadia Figueroa (University of Pennsylvania, USA)
Bridge Schedule
Unless otherwise stated, each Bridge is one full day
Tuesday, January 20
2 Day Bridge – B1: AI for Medicine and Healthcare | Room: Garnet 212
2 Day Bridge – B2: Logical and Symbolic Reasoning in Language Models | Room: Garnet 213
2 Day Bridge – B3: Combining AI and OR/MS for Better, Trustworthy Decision Making | Room: Peridot 204
2 Day Bridge – B4: Knowledge-guided Machine Learning: Bridging Scientific Knowledge and AI | Room: Tourmaline 207 – 209
B5: Advancing Large Language Models and Multi-Agent Systems | Room: Topaz 220 – 225
B6: AI and Wildlife Conservation | Room: Garnet 214
B7: Artificial Intelligence for Scholarly Communication (AI4SC) | Room: Topaz Concourse
B8: Bridging AI and Behavior Change (ABC) | Room: Garnet 215
Wednesday, January 21
2 Day Bridge – B1: AI for Medicine and Healthcare | Room: Garnet 212
2 Day Bridge – B2: Bridging Language Models and Symbolic Reasoning | Room: Garnet 213
2 Day Bridge – B3: Combining AI and OR/MS for Better, Trustworthy Decision Making | Room: Peridot 204
2 Day Bridge – B4: Knowledge-guided Machine Learning: Bridging Scientific Knowledge and AI | Room: Tourmaline 207 – 209
B9: Bridging Planning and Reasoning in Natural Languages with Foundational Models | Room: Topaz 220 – 225
B10: Making Embodied AI Reliable with Testing and Formal Verification | Room: Garnet 215
B11: Streaming Continual Learning Bridge | Room: Garnet 214
B12: Trustworthy AI for Legal and Law Enforcement Applications: Foundations, Challenges, and the Path Forward | Room: Garnet 216
Additional Programming on January 20-21
AAAI is pleased to present the AAAI-26 Tutorial and Lab Forum . Tutorials and Labs will be held Tuesday and Wednesday, January 20-21, 2026.
Tutorial and Lab Forum Connection to Collaborative Bridge Theme
New communities often emerge when two or more disciplines come together, in order to explore new opportunities and perspectives; today both are plentiful. The purpose of this year’s collaborative bridge theme is to help cultivate this process. Tutorials and labs act as catalysts for these bridges, they help to codify recent research results and tools and to present them to the research community in a timely fashion. Our goal for this year’s forum is to present to the community a diverse set of powerful formalisms, methods and tools that are representative of the diversity of AI as a whole.

