Human-AI Complementarity for Decision Making Workshop - Day 2

— 5:00pm

Location:
Rangos Ballroom - Rangos Ballroom, Cohon University Center

Speaker:
Human-AI Complementarity for Decision Making

Sponsored by: NSF AI Institute for Societal Decision Making (NSF AI-SDM)

Workshop Motivation and Goals
This annual workshop explores the concept of Human-AI Complementarity—a condition where humans and AI systems working together outperform either working alone. Our 2025 theme focuses on flexible Human-AI teams: systems that align with human values, withstand unexpected behaviors, and remain robust even under failure.

Key goals of the workshop include:

  • Delivering cutting-edge instruction on achieving Human-AI complementarity
  • Creating common knowledge around emerging research challenges
  • Generating new ideas and concrete proposals for future research

Who Should Participate?
We welcome contributions 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

Topics of Interest
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
  • And others.

Event Website:
https://www.cmu.edu/ai-sdm/research/human-ai-workshop/index.html

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