The impact of using AI-powered technology for lie detection in negotiations.

社会和经济互动日益数字化的进程正在以相当快的速度进行。对数字化过程的研究应该协调两个知识领域，这两个领域通常是分开审查的：第一，技术发展的问题；第二，这种发展对人类行为的影响的问题。在申请的项目中，将尝试以跨学科的方法将这两种观点结合起来，从而将重点放在行为分析上，但技术部分仍有很强的代表性。为这种类型的数字化过程分析选择的用例是信息不对称现象。具体地说，我们调查了通过使用人工智能技术，信息不对称的范式至少在多大程度上已经过时。在我们的跨学科项目中，与其等待基于人工智能的测谎领域的技术发展，我们希望在实验研究这项技术可能产生的社会后果的同时，为我们的技术进步做出贡献。项目提案结合了两个研究领域：经济学(WW)和神经信息技术(NIT)。在这两个领域，私人信息的识别都起着重要的作用，但从不同的角度进行了探讨。经济分析关注的是私人信息在谈判中的作用和重要性，而NIT关注的是自动识别个人特征的可行性和质量。主要目标是回答这两个问题。(1)此类人工智能技术的存在是否会导致市场选择效应？(2)在什么情况下，参与者会更喜欢使用或省略人工智能技术的市场设计？作为关键子目标，我们想要找出在我们的谈判环境中，机器可以多好地识别谎言，以及受试者如何处理这种人工智能技术提供的信息。总而言之，该项目解决了市场设计领域数字化的经济后果。其目的是调查参与者如何选择进入相应的子市场，以及这些市场是否真的存在。这一研究课题具有很强的实用性和科学性。未来几年，人工智能的使用将强劲增长，并出现在越来越多的应用中。鉴于这一发展，了解这种技术的使用如何影响有关行为者的行为具有高度的社会和科学意义。

The increasing digitization of social and economic interactions is proceeding at a considerable speed. Research on digitization processes should reconcile two areas of knowledge, which are usually examined separately from each other: First, the question of technical development and second, the question of the effects of this development on human behavior. In the project applied for, an attempt will be made to combine both perspectives in an interdisciplinary approach, whereby the focus is on behavioral analysis, but the technical components are nevertheless strongly represented. The use case chosen for this type of analysis of digitization processes is the phenomenon of asymmetric information. Specifically, we investigate to what extent the paradigm of asymmetric information has become at least partially obsolete through the use of AI technologies. In our interdisciplinary project, instead of waiting for technological developments in the field of AI-based lie detection, we would like to contribute to technological progress on our part, while experimentally investigating the possible social consequences of this technology.The project proposal combines two research areas: Economics (WW) and Neuro-Information Technology (NIT). In both fields, the identification of private information plays a major role, but is approached from different angles. While economic analysis focuses on the role and importance of private information in negotiation situations, NIT focuses on the feasibility and quality of automated recognition of personal characteristics.The main goal is to answer the two questions. (1) Does the existence of such AI technologies lead to market selection effects? (2) Under what circumstances will actors prefer a market design that uses or omits AI-enabled technology? As key sub-objectives, we want to find out how well lying can be detected by machines in our negotiation context and how subjects deal with the information provided by this AI technology.In summary, the project addresses economic consequences of digitalization in the area of market design. The aim is to investigate how actors select themselves into corresponding submarkets and whether the markets come into existence at all. This research question is of high practical and scientific relevance. The use of AI will increase strongly in the coming years and appear in more and more applications. In view of this development, it is of high social and scientific interest to know how the use of such technologies influences the behavior of the actors concerned.