Human-AI Complementarity Workshop: Dynamic Alignment
Academic Workshop - September 24-25, 2026
The NSF AI Institute for Societal Decision Making (NSF AI-SDM) sponsors the participation of selected speakers and students in an annual workshop of Human-AI Complementarity for Decision Making. Human-AI Complementarity, defined as the condition in which Humans + AI working together results in better decisions than humans or AI working alone, is a broad goal pursued in several projects of the NSF AI-SDM.
In 2026, we will focus on the emerging challenge of dynamic alignment to achieve human-AI complementarity: designing AI systems that not only emulate human preferences, but also coordinate effectively with humans over trajectories of interaction. We are particularly motivated by the observation that current alignment paradigms largely optimize for static preferences and single-turn evaluations, while many deployment challenges emerge only through longitudinal interaction. This workshop therefore aims to bridge perspectives from ML and the social sciences to better understand how to design, optimize, and evaluate human-AI systems operating in dynamic environments.
The goals of the workshop are:
- To deliver state of the art instruction on desirable ideas to achieve dynamic and complementary human-AI alignment
- To generate common knowledge about pressing research challenges
- To generate new shared ideas to address these challenges in future research
Work from Participants:
Participants of the workshop will represent multiple disciplines: decision science, cognitive science, computer science, machine learning, and others. The workshop will bring together academics of various levels including faculty and students working in the areas of Human and AI complementarity and Decision Making at the individual, group and societal levels.
Every participant of the workshop will need to be actively engaged in specific activities:
- As tutorial Instructor that will deliver state-of-the-art educational material
- As students that actively participate in tutorials and present their own work on interactive poster sessions
- As presenters who briefly provide key contributions to a research topic
- As discussant and AIdea generator to actively engage in the specification of proposals
Venue
The workshop will take place September 24-25, 2026 at the located in the downtown area. The venue address is 301 Grant St Suite 411, Pittsburgh, PA 15219.
Travel Information
How to travel to and around Pittsburgh:
- By plane via . - Pittsburgh Regional Transit offers public transit service to and from Pittsburgh International Airport via the 28X Airport Flyer. The 28X route serves Pittsburgh International Airport, Downtown Pittsburgh, and Oakland seven days a week. Riders using cash to pay their transit fares must have exact change; credit cards are not accepted on vehicles. Credit cards are accepted at the ticket vending machine in Baggage Claim inside Door #2. The ticket vending machine allows riders to buy daily, 7-day or 30-day tickets, or add stored value onto a ConnectCard or ConnecTix.
- By train via . - Amtrak's Union Station is located at 1100 Liberty Avenue, Pittsburgh, PA 15222.
- By long distance bus via . - The Greyhound Bus Terminal is located five miles from campus in downtown Pittsburgh. The station terminal is located at the intersection of 11th Street and Liberty Avenue
- Local bus via . - The PRT network offers bus, light rail, and incline services in Allegheny County. Please see their website for schedules and rider information.
This project is supported by the U.S. National Science Foundation under award number 2229881. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation. More information on the National AI Research Institutes can be found at .