2026 Human-AI Complementarity Workshop: Dynamic Alignment
September 24, 2026 8:15AM—
Location:
In Person
-
Rivers Club, 201 Grant Street, Pittsburgh PA
Speaker:
Sponsored by the NSF AI Institute for Societal Decision Making (NSF AI-SDM)
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.
The interdisciplinary workshop will focus on designing and deploying AI systems that are dynamically aligned with human values, robust to unexpected behaviors, and safe even under failure conditions. Key topics will include the role of AI agents in influencing human decision confidence and calibration, AI’s impact on trust, coordination, and collaboration in decision-making, and addressing undesirable AI behaviors.
Participants from diverse fields such as decision science, cognitive science, computer science, and machine learning will engage actively through tutorials, interactive poster sessions, presentations, and collaborative “AIdea” generation to identify pressing research challenges and propose concrete solutions for achieving complementarity in flexible Human-AI teams. The goal is to advance the state of the art in human-AI interaction for the benefit of society.
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
Additional Information (with details and deadlines)
Submission Tracks
Applicants can submit abstracts to one of three tracks:
- Research Talks & Posters: Highlight ongoing, completed, or proposed research related to the workshop theme. Selected abstracts will be featured as oral presentations or during poster sessions.
- Tutorials: Propose educational sessions designed to deliver state-of-the-art instruction on theories, methodologies, or tools that achieve dynamic and complementary human-AI alignment. You may also use the submission form to nominate expert tutorial leaders.
- Industry Demos: Showcase real-world applications, tools, or platforms that emphasize longitudinal human-AI interaction, collaborative decision-making, or dynamic system evaluation.
Funding for travel and lodging is available to support accepted speakers and student presenters.
For More Information:
ngottron@andrew.cmu.edu