GuoQiong Ivanka Huang , Chen Jason Zhang , Wanyi Christina Zhou Torres , Xiling Xiong , Huahang Li
{"title":"旅游管理中负责任的人工智能和人类合作:伦理考虑和身份披露","authors":"GuoQiong Ivanka Huang , Chen Jason Zhang , Wanyi Christina Zhou Torres , Xiling Xiong , Huahang Li","doi":"10.1016/j.tourman.2025.105315","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial Intelligence has evolved from mimicking to enhancing or even surpassing human capabilities in specialized domains. Building on Turing's test and the theory of moral responsibility, this research delves into the ethical and perceptual dimensions of AI-generated content in tourism management through three studies. Study 1 (<em>N=1400</em>) assesses tourists' ability to distinguish AI-generated from human managerial responses and examines their perceptions of responsibility. Study 2 (<em>N=700</em>) develops and validates a multidimensional scale to measure Responsible AI within the tourism industry. Study 3 (<em>N=600</em>) uses a scenario-based experiment to evaluate how collaborative AI-human responses, compared to AI-only or human-only responses, influence tourists' attributions of responsibility and satisfaction, especially when the origin of the response is transparently disclosed. This research advances frameworks for responsible AI in tourism management and emphasizes ethical openness to align technological advances with societal well-being.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"113 ","pages":"Article 105315"},"PeriodicalIF":12.4000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Responsible AI and human collaboration in tourism management: Ethical considerations and identity disclosure\",\"authors\":\"GuoQiong Ivanka Huang , Chen Jason Zhang , Wanyi Christina Zhou Torres , Xiling Xiong , Huahang Li\",\"doi\":\"10.1016/j.tourman.2025.105315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Artificial Intelligence has evolved from mimicking to enhancing or even surpassing human capabilities in specialized domains. Building on Turing's test and the theory of moral responsibility, this research delves into the ethical and perceptual dimensions of AI-generated content in tourism management through three studies. Study 1 (<em>N=1400</em>) assesses tourists' ability to distinguish AI-generated from human managerial responses and examines their perceptions of responsibility. Study 2 (<em>N=700</em>) develops and validates a multidimensional scale to measure Responsible AI within the tourism industry. Study 3 (<em>N=600</em>) uses a scenario-based experiment to evaluate how collaborative AI-human responses, compared to AI-only or human-only responses, influence tourists' attributions of responsibility and satisfaction, especially when the origin of the response is transparently disclosed. This research advances frameworks for responsible AI in tourism management and emphasizes ethical openness to align technological advances with societal well-being.</div></div>\",\"PeriodicalId\":48469,\"journal\":{\"name\":\"Tourism Management\",\"volume\":\"113 \",\"pages\":\"Article 105315\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0261517725001852\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0261517725001852","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Responsible AI and human collaboration in tourism management: Ethical considerations and identity disclosure
Artificial Intelligence has evolved from mimicking to enhancing or even surpassing human capabilities in specialized domains. Building on Turing's test and the theory of moral responsibility, this research delves into the ethical and perceptual dimensions of AI-generated content in tourism management through three studies. Study 1 (N=1400) assesses tourists' ability to distinguish AI-generated from human managerial responses and examines their perceptions of responsibility. Study 2 (N=700) develops and validates a multidimensional scale to measure Responsible AI within the tourism industry. Study 3 (N=600) uses a scenario-based experiment to evaluate how collaborative AI-human responses, compared to AI-only or human-only responses, influence tourists' attributions of responsibility and satisfaction, especially when the origin of the response is transparently disclosed. This research advances frameworks for responsible AI in tourism management and emphasizes ethical openness to align technological advances with societal well-being.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.