TL;DR
An indigenous relational construct-based culturally informed framework on the ethics of affective AI in tourism that incorporates indigenous constructs into the stimulus–organism–response framework is presented, demonstrating explanatory power beyond universalist ethics and fast trust models.
This study examines how generative AI (GenAI) is reshaping tourism work through tourism professionals’ experiences. Drawing on semi-structured interviews supplemented by contextual fieldnotes with 18 workers across tour guiding, travel consulting, customer service, and tour design in Ho Chi Minh City, Vietnam, the stud...
The study explores the influence of creative tourism (CT) experience on tourist eudaimonic wellbeing (EWB). It reflects the fact that authenticity and tourist engagement (TE) are significant psychological mechanisms that link creative participation to EWB. Contrary to the existing literature that considers CT as a...
Purpose This study examines ethical risks in hyper-personalized tourism recommendations and generative tourism information, proposes a conceptual governance framework for responsible tourism AI, and explores its application to Bukchon Hanok Village. Methods This conceptual study synthesizes literature on smart tourism...
Generative artificial intelligence (GenAI) is reshaping how tourists search for information and plan their trips, yet the psychological mechanisms underlying sustainability-oriented travel intentions remain insufficiently understood. Drawing on perceived value theory and trust theory, this study develops a dual-path fr...
Virtual Reality (VR) is increasingly used to enhance cultural heritage experiences, yet limited research explains how technological characteristics translate into sustainable cultural tourism intention (SCTI) through cognitive, experiential, and affective processes. This study develops and empirically tests an integrat...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
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