{"title":"Would I lie to you? How interaction with chatbots induces dishonesty","authors":"Christian Biener , Aline Waeber","doi":"10.1016/j.socec.2024.102279","DOIUrl":null,"url":null,"abstract":"<div><p>Is dishonesty more prevalent in interactions with chatbots compared to humans? Amidst the rise of artificial intelligence, this question holds significant economic implications. We conduct a novel experiment where participants report the outcome of a private, payout-relevant random draw to either a chatbot or a human counterpart, with varying degrees of signaled agency. We find that signaling agency increases honesty when interacting with humans but not with chatbots. Moreover, participants are consistently more honest with humans in the presence of agency cues. Our results suggest that social image concerns and perceived honesty norms play a more prominent role in human interactions. Surprisingly, standard online forms generate the same levels of honesty as human-to-human chat interactions. These findings offer valuable insights for designing effective communication and trust-building mechanisms in digital economies where human-chatbot interactions are increasingly prevalent.</p></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214804324001162/pdfft?md5=c5bafdebbd570a25694f1852f099819f&pid=1-s2.0-S2214804324001162-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral and Experimental Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214804324001162","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Is dishonesty more prevalent in interactions with chatbots compared to humans? Amidst the rise of artificial intelligence, this question holds significant economic implications. We conduct a novel experiment where participants report the outcome of a private, payout-relevant random draw to either a chatbot or a human counterpart, with varying degrees of signaled agency. We find that signaling agency increases honesty when interacting with humans but not with chatbots. Moreover, participants are consistently more honest with humans in the presence of agency cues. Our results suggest that social image concerns and perceived honesty norms play a more prominent role in human interactions. Surprisingly, standard online forms generate the same levels of honesty as human-to-human chat interactions. These findings offer valuable insights for designing effective communication and trust-building mechanisms in digital economies where human-chatbot interactions are increasingly prevalent.
期刊介绍:
The Journal of Behavioral and Experimental Economics (formerly the Journal of Socio-Economics) welcomes submissions that deal with various economic topics but also involve issues that are related to other social sciences, especially psychology, or use experimental methods of inquiry. Thus, contributions in behavioral economics, experimental economics, economic psychology, and judgment and decision making are especially welcome. The journal is open to different research methodologies, as long as they are relevant to the topic and employed rigorously. Possible methodologies include, for example, experiments, surveys, empirical work, theoretical models, meta-analyses, case studies, and simulation-based analyses. Literature reviews that integrate findings from many studies are also welcome, but they should synthesize the literature in a useful manner and provide substantial contribution beyond what the reader could get by simply reading the abstracts of the cited papers. In empirical work, it is important that the results are not only statistically significant but also economically significant. A high contribution-to-length ratio is expected from published articles and therefore papers should not be unnecessarily long, and short articles are welcome. Articles should be written in a manner that is intelligible to our generalist readership. Book reviews are generally solicited but occasionally unsolicited reviews will also be published. Contact the Book Review Editor for related inquiries.