Advancing Conflict Management Research Through The Lens of Ai
Authors:
Huiru (evangeline) Yang IESEG School of Management
France
Orcid: 0000-0001-7179-3261
Kate Bezrukova University at Buffalo
United States
Orcid:
Ray Friedman Vanderbilt University
United States
Orcid:
Jeanne Brett Northwestern University
United States
Orcid:
Alfred Zerres Amsterdam Business School
Netherlands
Orcid:
Jesse Spencer-Smith Vanderbilt University
United States
Orcid:
Jaewoo Cho Vanderbilt University
United States
Orcid:
Xuhui Zhan Vanderbilt University
United States
Orcid:
James Hale University of Southern California
United States
Orcid:
Eleanor Lin Columbia University
United States
Orcid:
Ian Wu University of Southern California
United States
Orcid:
Kushal Chawla University of Southern California
United States
Orcid:
Gale Lucas University of Southern California
United States
Orcid:
Jonathan Gratch University of Southern California
United States
Orcid:
Samuel Dahan Queen's University
Canada
Orcid:
Terri Griffith Simon Fraser University
Canada
Orcid:
Vincent Rice University at Buffalo
United States
Orcid:
Chester Spell Rutgers University
United States
Orcid:
Emily Grijalva University at Buffalo
United States
Orcid:
Yu Rong University of Southern California
United States
Orcid:
Abstract: The growing use of artificial intelligence (AI) in research and in practice makes understanding human-AI interactions increasingly important. This symposium aims to advance AI and conflict management research by bringing together four presentations to discuss new methodological approaches and theoretical explorations. The first talk by Friedman and colleagues introduces an AI model to code negotiation transcripts for research. The second presentation by Hale and colleagues focuses on addressing the challenges of integrating Large Language Models into automated negotiation. In the third talk, Dahan explores the impact of AI on legal negotiation and Alternative Dispute Resolution. The last paper by Bezrukova and colleagues proposes a theoretical model on potential Faultlines in human-AI teams. Taken together, this symposium provides new avenues for future AI and conflict management research.
Track: TECH
Keywords: Artificial intelligence; negotiation; faultlines; conflict management
