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Artificial Intelligence and Technology in Teaching Negotiation
Authors:Samuel   Mooly    Dinnar,Chris Dede,Emmanuel Johnson,Carrie Straub,Kristjan Korjus
Affiliation:Samuel “Mooly” Dinnar,Chris Dede,Emmanuel Johnson,Carrie Straub,Kristjan Korjus
Abstract:Artificial intelligence (AI), machine learning (ML), affective computing, and big‐data techniques are improving the ways that humans negotiate and learn to negotiate. These technologies, long deployed in industry and academic research, are now being adopted for educational use. We describe several systems that help human negotiators evaluate and learn from role‐play simulations as well as applications that help human instructors teach negotiators at the individual, team, and organizational levels. AI can enable the personalization of negotiation instruction, taking into consideration factors such as culture and bias. These tools will enable improvements not only in the teaching of negotiation, but also in teaching humans how to program and collaborate with technology‐based negotiation systems, including avatars and computer‐controlled negotiation agents. These advances will provide theoretical and practical insights, require serious consideration of ethical issues, and revolutionize the way we practice and teach negotiation.
Keywords:negotiation  artificial intelligence  AI  machine learning  avatars  computer‐controlled negotiation agents  ethics  affective computing  teaching
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