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

社会和经济互动的数字化正在以相当快的速度发展。对数字化过程的研究应该调和两个通常被分开研究的知识领域：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两种观点联合收割机结合起来，其中重点是行为分析，但技术成分仍然很强。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。具体来说，我们调查了通过使用人工智能技术，信息不对称的范式在多大程度上已经至少部分过时。本研究所的跨学科课题，与其等待人工智能测谎领域的技术发展，还不如通过实验研究人工智能测谎技术可能带来的社会后果，为技术进步做出自己的贡献。课题提案结合了经济学（WW）和神经信息技术（NIT）两个研究领域。在这两个领域中，私人信息的识别都发挥着重要作用，但从不同的角度进行了探讨。经济分析侧重于私人信息在谈判中的作用和重要性，而NIT则侧重于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)这种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？作为关键的子目标，我们希望了解机器在谈判环境中如何检测谎言，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。 其目的是调查行为者如何选择自己进入相应的子市场，以及市场是否存在。这一研究问题具有高度的实用性和科学性。人工智能的使用将在未来几年内强劲增长，并出现在越来越多的应用中。鉴于这一发展，了解这些技术的使用如何影响有关行为者的行为，具有很高的社会和科学意义。

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.