With the holiday and travel season approaching, queuing at security and long waits before getting on the plane are back. can help Artificial intelligence To mitigate this problem, and to give people the flying experience that wealthy travelers enjoy, where they never have to worry about departure times or security lines like everyone else.
In their latest bookPower and predictability: The Disruptive Economics of Artificial Intelligence”, University of Toronto economists and professors Ajay Agrawal, Joshua Ganz, and Avi Goldfarb have examined the fundamental impact of AI and machine learning systems on human decision-making, as it increasingly relies on automation and big data predictions. The scientists in the book hypothesize what airports might look like. Tomorrow if artificial intelligence eliminates traffic congestion and security delays.
Alternative airport system
Before considering the threat that AI airport prediction might pose, as with everything, there is an alternative system that can show us what the other side looks like. One example is the realm of the very wealthy, who do not travel as often as the general public and therefore have no access to public airport terminals. Instead, they fly privately and go through special stations.
There are many differences between commercial and private travel, most notably the existence of a schedule, as commercial planes will leave late passengers behind if they are late. In a private plane, the schedule is more flexible or even non-existent. If the passengers are not present, the plane will not leave until they arrive, and if the passengers arrive early, the plane leaves early. This entire system is designed so that passengers do not have to wait.
Effect Artificial intelligence
Artificial intelligence is not a strange thing for airports, as air traffic control relies on systems based on artificial intelligence to better predict the arrival and congestion of aircraft. At Eindhoven Airport, a new system for baggage delivery that works with artificial intelligence is being piloted, as passengers simply photograph their bags, hand them over, and receive them at their destination, without the need for stickers, according to the “Site” website.GadgetThis will help in reaching the destination more quickly.
However, none of these things change the main causes of uncertainty about getting to the plane on time, traffic, long queues, and security. Navigational applications such as “Wise” (Waze) travelers to arrive on time, as It takes into account traffic conditions and can estimate how long it will take to get to any airport. The apps aren’t perfect, but they keep getting better. Passengers can add the flight time to their calendar, and the app will tell them the best time to depart accordingly.
This may not eliminate the uncertainty of the actual time of catching them, but it is an important step in saving more waiting time. Similarly, many Uber taxi riders who previously thought they wouldn’t care about knowing their taxi’s expected arrival time now cite this information as one of the service’s most valuable features.
Uber uses artificial intelligence to determine this prediction, and the AI can also predict waiting times at airport security lines. Thus, artificial intelligence can be used to determine when to leave for the airport instead of going a few hours early.
Those developing an application based on AI for navigation or for predicting flight departure have no direct interest in the profits of the airport’s in-terminal activities, however, the value of their AI applications depends critically on the number of people who do not want to wait at airports. Thus, if waiting times at airports are currently less, the value of these applications diminishes.
The most important point here is not related to airports but to the rules designed to protect passengers, which often cause delays in the arrival of passengers or delays in the departure of the plane. Rules are created to protect and make things easier for passengers, but they create their own set of problems. Laws specify various measures to protect people from uncertain events. This means that they usually generate exaggerated solutions, as they are designed for a specific set of events that may not occur.
For many years, experts have suggested that life jackets and rafts on planes seemed useless, given that no plane ever landed on water. However, in 2009, Captain Sullenberger landed an American Airlines plane with broken engines on the Hudson River. This may be the only example of an event making precautionary life jackets useful, but their removal would raise questions.
The main point of the bookstrength and foresight is that it is not possible to measure whether the investments made for protection are excessive and unhelpful, and much can be wasted on something that is no longer at all high risk for this reason.