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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