The Challenges of humanize ai writing in the Application of Tourism Industry

Insufficient maturity and depth of technology
AI guided tours, customer service and other applications often provide basic information, making it difficult to interact deeply like human guides (such as interesting interpretations of historical backgrounds).
In high-end customized tourism, the ability to meet complex needs such as specific animal observation and cultural experiences is limited.
Data Privacy and Security Risks
Personalized recommendations require analysis of user location, consumption records, and other data, which poses a risk of leakage (such as a data breach incident on an OTA platform in 2023).
Due to insufficient funds, it is difficult for small and medium-sized scenic spots to establish a compliant data management system.
Difficulties in industry collaboration and resource integration
There is an "island phenomenon" between tourism apps, scenic spots, and service providers, leading to a fragmented localized service experience.
Cross disciplinary cooperation (such as cultural IP development) requires breaking through industry barriers, and progress is currently slow.
Shallow cultural experience
AI's exploration of local culture, such as the history of ancient towns, remains superficial and difficult to present deep connotations.
The development of cultural and tourism products centered around IP is insufficient, and there is a lack of immersive new formats.
Cost and popularization challenges
The development and maintenance cost of intelligent systems is high, which is difficult for small and medium-sized scenic spots to afford (such as the difficulty in implementing AI explanations in museums).
The popularization of digital infrastructure, such as 5G and the Internet of Things, still requires time.