Skip to main content
IACM 2023

Full Program »

Advancing the AI and Negotiation Research (S29)

Wednesday, 12 July 2023
10:45am - 12:15pm

Amfitrion II

The growing use of artificial intelligence (AI) in negotiations makes understanding human-AI interactions increasingly important. This symposium aims to advance research on AI and negotiation by bringing together five presentations to discuss new methodological approaches and special considerations on the topics of emotion, diversity, and ethics. The first talk focuses on the AI-developed transformer model to analyze negotiation transcripts. The second introduces an animated virtual agent to an online human-agent negotiation platform. The third builds an emotional intelligence framework for designing affectively capable negotiation agents. The fourth examines gender roles and stereotypes in people’s interaction with gendered AI. The last reviews ethical issues of AI use in buyer-supplier negotiations. Taken together, this symposium provides new avenues for future AI and negotiation research.

Symposium Organizers: Evangeline Yang, IESEG School of Management; Kate Bezrukova, University at Buffalo

Using Transformer Models for Negotiation Research
Ray Friedman, Vanderbilt University
Animated Agents in Negotiation
Lindsey Schweitzer, University of Southern California
James Hale, University of Southern California
Edward Fast, University of Southern California
Johnathan Mell, University of Central Florida
Jonathan Gratch, University of Southern California
Emotionally Intelligent Artificial Intelligence? Future Possibilities and Potential Pitfalls
Laura Rees, Oregon State University
Mehran Bahmani, York University
The Impact of AI Gender Features on Human-AI Interaction
Huiru Evangeline Yang, IESEG School of Management
Kate Bezrukova, University at Buffalo
Terri Griffith, Simon Fraser University
Chester Spell, Rutgers University
Vincent Rice, University at Buffalo
Ethical Issues of the Use of Artificial Intelligence in Buyer-Supplier Negotiations
Markus Voeth, University of Hohenheim
Michael Oryl , University of Hohenheim
Nina Weinmann, University of Hohenheim


Powered by OpenConf®
Copyright ©2002-2022 Zakon Group LLC