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Artificial Intelligence and Technology in Teaching Negotiation
Negotiation Journal ( IF 0.639 ) Pub Date : 2021-01-12 , DOI: 10.1111/nejo.12351
Samuel “Mooly” Dinnar , Chris Dede , Emmanuel Johnson , Carrie Straub , Kristjan Korjus

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.

中文翻译:

人工智能与技术在教学谈判中

人工智能(AI),机器学习(ML),情感计算和大数据技术正在改善人们进行协商和学习协商的方式。这些技术长期用于工业和学术研究,现已被用于教育用途。我们描述了几种可帮助人类谈判者评估和从角色扮演模拟中学习的系统,以及可帮助人类教练在个人,团队和组织层面上指导谈判者的应用程序。考虑到文化和偏见等因素,人工智能可以使谈判指令个性化。这些工具不仅可以改进谈判教学,还可以教人们如何编程和与基于技术的谈判系统进行协作,包括化身和计算机控制的谈判代理。这些进步将提供理论和实践见解,需要认真考虑道德问题,并彻底改变我们实践和教授谈判的方式。
更新日期:2021-02-08
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