The 39th Annual AAAI Conference on Artificial Intelligence
February 25 – March 4, 2025 | Philadelphia, Pennsylvania, USA
Combining AI and OR/MS for Better Trustworthy Decision Making – Bridge Program
AAAI-25 Bridge: AI+ORMS
Combining AI and OR/MS for Better Trustworthy Decision Making
Part of the 39th Annual AAAI Conference on Artificial Intelligence | Philadelphia Pennsylvania, USA
Description of the Bridge Program
Artificial Intelligence (AI), including Generative AI, and Operations Research/Management Science (OR/MS) offer proven but distinct approaches to decision-making with data and models. However, challenges persist in applying them to vital socio-technical environments where human and artificial systems interact. These include the need to combine AI and OR/MS for the best solution, aligning models with human values and promoting trust, and the expertise and time required for their application, which limit wider use.
Main Objectives
It is the goal of this bridge program to unite AI and OR/MS practitioners and researchers to improve trustworthy decision-making in key socio-technical areas such as supply chains, healthcare, crisis management, homeland security, robotics, wildlife conservation, medicine, transportation, and finance. It aims to equip them with better tools by familiarizing them with each other’s techniques and domains and bring the disciplines together to advance the research and application at the intersection of AI and OR/MS so as to improve decision-making.
Topics
- Utilizing AI, OR/MS, and their integration for decision-making.
- Exploring current state-of-the-art research and identifying new directions in combining AI andOR/MS for improved trustworthy decision-making, including integrating Large Language Models with OR/MS and other AI tools to democratize advanced decision-making capabilities and integrating OR/MS and AI to improve trustworthiness.
- Identifying key domains and use cases where AI and OR/MS can improve decision-making.
Format of the Bridge Program
This will be a two day bridge, which will include: a half day of invited talks and a tutorial on using OR/MS for decision-making; a half day of submitted presentations and posters on applying AI and/or OR/MS and state-of-the-art research on their integration for trustworthy decision-making; a half day of presentations on future research directions and key domains for AI and OR/MS integration; and a half day of discussions to refine research priorities and focus use cases, and define next steps.
Attendance
Attendance is open to any interested students, practitioners and researchers.
Submission Requirements
Participants interested in presenting can submit a presentation proposal about one or more of the following:
- An application of AI and/or OR/MS (individually or together) to decision-making.
- Existing research integrating AI and OR/MS for decision-making.
- New, important research directions that integrate AI and OR/MS for decision-making.
- Decision-making domains and use cases where AI and OR/MS should be jointly applied, with a rationale for the combined approach.
- Relevant surveys presentation.
Submissions can range from a one-page abstract to a full journal article and may include work at any level of maturity, as well as previously published work.
Submission Site Information:
Previously unpublished mature application work will be invited to submit to an accelerated review process for a special issue of the INFORMS Journal on Applied Analytics (we are working to have a similar arrangement for mature research work with the INFORMS Journal on Computing – please check the web site for updates)
Timetable for Authors
- November 25, 2024: Bridge Submissions Due to Organizers
- December 9, 2024: Notifications Sent to Authors
- December 19, 2024: AAAI-25 Early Registration Deadline
- January 13, 2025: All Materials for Participants Posted by Organizers
- February 25-26, 2025: AAAI-25 Bridge Program
Organization
Bridge Committee
- Sven Koenig, University of California, Irvine, sven.koenig@uci.edu, skoenig@usc.edu
- Michela Milano, Università di Bologna, michela.milano@unibo.it
- Willem-Jan Van Hoeve, Carnegie Mellon University, vanhoeve@andrew.cmu.edu
- Segev Wasserkrug, IBM Research and Technion, segevw@il.ibm.com
Program Committee
TBD
Schedule
TBD