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There is an international student who arrived in the Netherlands only a few weeks ago. You may assume that this girl must be passionate and curious about everything, from unusual architecture to different lifestyles and spectacular scenery. However, the pressure from adapting to new daily routines and schoolwork slowly kills the girl who was excited to start a brand new life and looking forward to exploring this beautiful country. Luckily, the girl is aware of all the passive emotions and finds an ingenious friend with deep knowledge about the Netherlands, Gemini.

She puts down her situation and current feelings, asking Gemini to generate a one-day tour in Rotterdam, with her favorite activities included. Gemini comes up with the itinerary names Explore Like a Local, which contains a thorough schedule from sightseeing to food. Not only does it use the basic itinerary design logic, but Gemini also applies the psychological theory, behavioral activation therapy, to pull the girl away from darkness by simply going out and doing small tasks. By doing this exercise, the girl truly feels relief and can enjoy Rotterdam in the way it should be. And she is now able to write down this blog post without feeling overwhelmed and pressured.

There are a lot of people using GenAI to come up with travel itineraries and ideas, which helps to reduce the time looking for information and arrange all the attractions into a smooth schedule. As a tourism major student, generating a normal itinerary is just a piece of cake, but with the help of GenAI, I can also apply the theories that I am not familiar with to make the whole trip even more meaningful. After all the conversations with Gemini, to understand all the sources it uses to create this specialized travel plan, I have more new ideas about planning a trip, and how to make the trip worthwhile. Besides taking pictures and shopping, travelling means more, and GenAI can help. 

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Artificial Intelligence (AI), a proliferating capability of computational systems, is adopted in many fields, including policing. It leads to a critical question: Are we safer or more exposed? Since January 2024, the live facial recognition system has helped London police to charge or cite more than 1000 people (Satariano & Dearden, 2025). The system can now compare real-time human movement with the database of wanted individuals to maintain a safe environment for innocent people. Consider the recent tragic news in Amsterdam, where a young woman was killed while biking home. If the AI-powered CCTV could detect real-time violence or predictive policing and automatically alert the police system, would it be a different story?

However, the concerns of AI accuracy and privacy challenge the vision of this automatic security system. AI could be biased by applying historical crime data (NAACP, 2024), which may cause inaccurate arrestments. Also, errors occur more frequently when identifying women and ethnic minorities (NAACP, 2024). These wrongful detections lead to a significant problem of discrimination and may make the policing system untrustworthy. Another concern is the erosion of privacy. When implementing an AI surveillance system, everyone is monitored every single moment. Our daily lives, habits, and preferences, etc., are continuously observed and recorded. 

Despite these challenges, I personally see this as an advantage that we are covered by a safety net that works 24/7. We should not ignore the potential of AI to bring us a safer society and ban the AI policing system, but implement the technology wisely and responsibly. Human oversight is able to tackle the accuracy problem. AI helps us to collect the data, detect the real-time possible violence, while humans check the accuracy and decide whether to take action or not. Regarding the privacy issue, as long as the data collected is safely protected, and the usage of which is restricted under proper regulations, why abandon a useful technology for a safer society?

Reference List

NAACP. (2024, February 15). Artificial intelligence in Predictive Policing issue brief. https://naacp.org/resources/artificial-intelligence-predictive-policing-issue-brief

Satariano, A., & Dearden, L. (2025, September 7). Has Britain gone too far with its digital controls? New York Times. https://www.nytimes.com/2025/09/17/technology/britain-facial-recognition-digital-controls.html?