Speaker Jared Curhan\, Gordon Kaufman Prof essor of Management at MIT and Executive Committee Member at PON will shar e key results\, highlighting innovative prompts developed by the MIT AI Neg otiation Competition's winners and examining broader theoretical implicatio ns for negotiation and AI.
The MIT AI Negotiation Competition enliste d negotiation experts\, students\, and faculty from over 50 countries to pr ompt large language models (LLMs) to engage in various integrative and dist ributive negotiation tasks. Their challenge was to maximize value claiming (proportion of resources captured)\, value creation (joint benefit)\, and s ubjective value (counterpart satisfaction). Preliminary findings suggest th at “nice” strategies play a surprisingly pivotal role in objective and subj ective negotiation outcomes.
Visit the pon.harvard.edu/events for add itional information.
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