AI-SDM Workshop: Human-AI Complementarity for Decision Making

Abstracts due July 15!

The annual Human-AI Complementarity for Decision Making Workshop will be held September 25–26, 2025, at the Cohon University Center, Carnegie Mellon University in Pittsburgh, PA.

This is an incredible opportunity for faculty, researchers, and especially emerging scholars across all AI Institutes to get involved! The workshop features cutting-edge tutorials and an interactive poster session – perfect for sharing early-stage work and fostering new connections.

Sponsored by the NSF AI Institute for Societal Decision Making (NSF AI-SDM), and led by NSF AI-SDM PI Aarti Singh and Co-PI Cleotilde Gonzalez, the workshop explores the concept of Human-AI Complementarity—a condition where humans and AI systems working together outperform either working alone.

The 2025 theme focuses on flexible Human-AI teams: systems that align with human values, withstand unexpected behaviors, and remain robust even under failure. Sessions will focus on the flexibility and dynamics of Human-AI interactions for decision making, including but not limited to:

• The role of AI agents in shaping human decision confidence and calibration
• AI’s influence on trust, coordination, and collaboration
• Addressing undesirable or failure-prone AI behaviors

Key goals of the workshop are to deliver cutting-edge instruction on achieving Human-AI complementarity, create common knowledge around emerging research challenges, and generate new ideas and concrete proposals for future research. Learn more!

Submit an Abstract

Submissions should highlight ongoing or proposed research related to the workshop theme and topics.

Abstract submissions are invited from students, faculty, and researchers from multiple disciplines – decision science, cognitive science, computer science, machine learning, and beyond. Participants may be:

• Tutorial Instructors: Delivering state-of-the-art educational sessions
• Students: Presenting interactive posters and engaging in tutorials
• Presenters: Providing brief, targeted insights on key research topics

Abstracts must be submitted by July 15. They should be a maximum of 300 words and include the title, authors, and affiliations. Submit your abstract (form).

Selected abstracts will be presented as talks or interactive poster sessions. The primary author of the abstract will be invited to attend the workshop in person. Their travel and lodging expenses will be covered by NSF AI-SDM.