February 27, 2025 |
GradEL Lecturer Presents at Harvard-MIT Summit on AI and Negotiation
GradeEL Lecturer Samuel “Mooly” Dinnar will be presenting at the Harvard-MIT Summit on AI and Negotiation on March 8 & 9 at MIT. Hosted by the Program on Negotiation at Harvard Law School, the summit will feature cutting-edge research and innovations in the field from global invited-only researchers, academics and experts. Presenting in the AI as a Teacher track, Dinnar will focus on Using GenAI to Improve Human-to-Human Interactions in Multiparty Negotiation Instruction.
Dinnar teaaches GradEL’s Multi-Stakeholder Negotiation for Technical Experts course. He is also an aerospace engineer, computer scientist, entrepreneur, and business executive. As a Research Associate at MIT and Harvard, he developed and taught many negotiation and mediation courses including at PON, HNI and globally. He is author with Susskind of the book “Entrepreneurial Negotiation” (Palgrave 2019.) His e-mail address is sdinnar@mit.edu.
Formal title and abstract of the presentation:
Negotiation Coaching Bots and Backtable Bots: Using GenAI to Improve Human-to-Human Interactions in Multiparty Negotiation Instruction
This session describes the Negotiation Coaching Bots using GenAI that were developed for teaching in two muti-party negotiation courses at MIT (Spring 2024) and the resulting papers about the experience. Three kinds of bots were created for various stages: a PREPARATION coaching bot for each role-player before entering the actual human-human multi-party interaction in an upcoming specific simulation; a BACKTABLE bot that allows learners to interact with (imaginary) backtable stakeholders from the assigned negotiation partners; and a DEBRIEF bot that coaches individuals to reflect deeply after their negotiation. We share our process of Seven Steps to Building GenAI Negotiation Bots, paying specific attention to the important Four Aspects of Prompt Design, and how we provided the students a choice about their coach’s personality style. We’ll present data from the students’ learning steps and reactions to being coached with bots in 2 different 6-person role-plays, emphasizing the importance of context and asking-questions to productive coaching, and to developing the students’ Personal Theory of Practice. We’ll conclude with ideas and recommendations regarding the further possible development of Negotiation Coaching Bots, and how they can be used in a wide range of teaching and training settings.