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鈥淗ow AI is Transforming Future Technology in Aviation鈥�

By Cesar Villa

As technology advances, especially AI, it has focused on installing new technology in airports. Modern technology would transform how pilots fly a plane. AI copilots would be a thing that may be added in the future to improve pilot contracting and reduce human errors. AI technology on weather reports to improve the speed and efficiency. With these new technologies, there are still errors that can't be overlooked. With the current technology, the airplanes are still pretty advanced. The pilots do sometimes have to override technology in order to make a correct decision. With this technology, it is advanced and would transform how pilots fly planes, but how?

One of the main ideas they want to add to Airplanes with this new wave of technology is AI, especially to be a co-pilot. The co-pilot is responsible for emergency landings, communication, and monitoring the flight. With AI, it would be faster and without human error. According to Li et al. (2024), “The V-CoP is expected to replace the position of human co-pilots to mitigate the risks and challenges of pure single pilot operation” (p.2). With these new AI co-pilots, the captain would be able to focus more on maintaining the AI co-pilot system errors. If an emergency does come to an aircraft, the response time of the AI co-pilot would be noticeably faster than that of a regular human co-pilot. In an emergency situation, the captain would have to talk to the copilot; with an AI co-pilot, it would be eliminated. Also, when an emergency happens with a human co-pilot, the captain must talk with the co-pilot, increasing the reaction time and the time it takes to recover. At the same time, the AI could do it by itself, letting the captain be more focused on contacting for help instead of trying to help their co-pilot. According to Li et al. (2024), “The V-CoP doesn't have a specific personality, so it can play any type of team role in the teamwork” (p.2). An AI co-pilot would not need to break like a normal human pilot, increasing the efficiency of flights. With technology, there is no emotional barrier to the outcome of the come with the pilot. These could reduce the disagreement within the airplanes and increase teamwork, making faster and more coordinated decisions in an emergency or when necessary

Although this proposal could be attractive on paper, some people may be worried about this new AI. Cons include too much trust in technology, the cost, and how easily AI can make errors. Andrew Brooks (2023) argues against the removal of humans because “...AI’s knowledge is limited to the data it has been trained on” and “In situations where the issue is unique鈥� human intuition and expertise become indispensable” (para.7). This shows how AI having technical difficulties is dangerous while being on board a plane. A pilot would not only need to worry about flying the plane but also about fixing the AI co-pilot. It's not only about managing two tasks, but also the extra information the pilot would have to learn in order to fix the AI pilot. Pilots already have to memorize a lot of procedures and learn everything about a plane, and adding an extra subject about an AI robot, which people take years to master, is difficult, and some pilots may not be able to understand. The AI co-pilot development could cost up to 1.5 million dollars, not counting maintenance costs and the costs to train pilots to fix and control it. This cost is more than the average pilot salary, and the transition from human pilots to AI could take years and millions of dollars to actually replace the computers inside airplanes. This long drawn-out process may not be worth it. AI robots aren't the only technology that will be implemented in airplanes. There is also technology like automatic weather reports and AI in traffic control.

Co-pilot could not only be present on airplanes, but also in airport systems like weather reports, and route-making systems. James (2025) mentions, "By processing real-time data on weather, traffic patterns, and flight schedules, AI optimizes routes, reduces congestion, and minimizes delays" (Para. 10). With operated AI, airports could run more smoothly and efficiently, enhancing the passengers' experiences. When weather reports are made by AI, they would contain fewer human errors. Humans could focus on other reports, as AI automatically uploads these reports faster and more efficiently, helping pilots be prepared. AI would also be able to customize airline routes better than a human could, saving pilots time in planning routes, which is part of their job. This would make pilots' jobs easier and reduce one step in their process. James (2025) mentions, "If a storm looms ahead, the system can suggest an alternate route that balances safety, fuel efficiency, and schedule adherence." (para. 11). With this AI technology, pilots could instantly receive new routes when storms are detected, making flights better and reducing passenger worries about entering a storm in the sky.

Relying on AI technology also has cons, not just pros. Although AI can be used to rely on information, larger scale decisions still need to be made by humans. James (2025) mentions, "AI remains a tool rather than a decision maker, reliant on human oversight for the toughest calls." (para. 18). AI is not always 100% accurate, and sometimes a human decision proves to be more accurate. Fully relying on AI for weather and route planning could be dangerous for pilots, potentially causing aircraft damage or crashes if a plane enters severe weather.

Now that we know about future technology transformation to airplanes, I will focus on current technology and how safe it really is. Technology in airplanes helps pilots detect dangerous terrain and possible engine failures, assisting them in landing safely before it's too late. In 2023, research was conducted that found that 70% of aviation accidents were caused by human errors, especially due to not trusting the aircraft's computer system. For example, Ercan K谋van莽 et al. (2025) mention, “While weather-related or mechanical failures were sometimes the cause, human error was frequently identified” (para.3). This shows how often accidents are caused by human errors and not really because of the new technology. Since then, new modern systems can detect obstructions, helping pilots avoid collisions with other aircraft. Futures like autopilot help pilots during long flights, reducing fatigue and stress, while also providing a better ride for passengers.

Despite the benefits of current technology, there have been times when human decisions proved technology wrong. On January 15, 2009, an Airbus took off from LaGuardia Airport, and two flocks of birds struck the engines, causing both to fail. Less than 3,000 feet above the ground, the pilots had to perform a manual emergency landing decision, unsupported by technology, landing on the Hudson River. During that emergency, no technology recommended actions; it was up to the pilots to make quick decisions to save everyone. This shows how sometimes trusting in technology may not be the best due to the inconsistency of technology. Where humans fix issues that some technology can't.

Overall, the future of technology will transform how pilots fly planes. With AI assisting, co-pilots will be provided with quick weather reports and help with rapid route adjustments, flights will improve, it would minimize human error. While these technologies can have errors, humans will be needed to oversee and correct them. In the end, technology won’t replace pilots but will serve to assist and improve their work.

References

Brookes, A. (2023, April 12). . Faculty.

James. (2025, February 19). . Inflight Pilot Training.

K谋van莽, E., Vayvay , 脰., & Tuzkaya , G. (2024, December 18). . Science Direct.

Li, F., Feng, S., Yan, Y., Lee, C.-H., & Ong, Y. S. (2024, March 25). . arXiv.org.