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...
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Oct 30, 2026
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
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