ChatGPT Takes Flight: How AI Technology can Transform Aviation Training

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Picture this: a new generation of airline pilots and aviation professionals is being trained to fly and operate the most advanced aircraft in history. But instead of sitting in a classroom or training simulator, they’re learning from an interactive, personalized AI program that simulates a wide range of real-world scenarios. This is the promise of ChatGPT, a powerful tool for natural language processing that is revolutionizing the way aviation professionals are trained.

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ChatGPT is an AI language model that has been trained on vast amounts of data to understand and process human language. This means that it can understand and respond to natural language queries, allowing users to ask questions and receive answers in a more conversational way. In the aviation industry, ChatGPT is being used to create personalized training programs that simulate a wide range of scenarios, from routine tasks to emergency situations. These scenarios can range from routine tasks, such as takeoff and landing procedures, to emergency situations, such as engine failure or loss of cabin pressure.

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The use of personalized scenarios in aviation training can be particularly effective because it allows trainees to practice and learn in a realistic and engaging environment. Rather than simply memorizing procedures or watching videos, trainees can interact with the scenario and receive real-time feedback on their performance. This can help to build muscle memory and reinforce good habits, making it easier for trainees to respond effectively in a real-world situation.

In addition to simulating scenarios, ChatGPT can also provide detailed feedback and analysis to trainees. For example, it can identify areas where trainees are making mistakes or struggling, and provide targeted feedback and suggestions for improvement. This can help to accelerate the learning process and ensure that trainees are fully prepared for any situation they may encounter in the real world.

Before you continue reading, though, the above four paragraphs have actually been written by ChatGPT itself! Mind blowing, right? Well, you haven’t seen the start of it.

Being constantly on the lookout for new tech due to our RAVEN project, it came to no surprise when OpenAI released ChatGPT to the world. A direct and practical application of Artificial Intelligence Technology, it took me some time to start understanding how this kind of technology would impact aviation and mobility learning. The more I asked it challenging questions, however, the more I realised that this is not simply a ‘spur of the moment’ solution which would pass its hype, but it actually catalyses the start of a deeper way of thinking for any digital learning designer – not only in the aviation industry, but beyond. PWC is expecting that AI will boost the global economy by over $15 trillion by 2030.

If you don’t know what ChatGPT is, have a look at this video

With the rise of Advanced Air Mobility, and the ‘traditional’ aviation industry in dire need of an expansive re-haul of its digital learning solutions, solutions like ChatGPT can offer new and powerful ways of learning which make learning more personalised, more relevant, more efficient, and above all, more effective.

ChatGPT can create personalised training programmes that simulate a wide range of scenarios, from routine tasks to emergency situations, providing a realistic and engaging environment for trainees to practice in. The use of personalized scenarios can help build muscle memory, reinforce good habits, and increase trainees’ confidence when responding to real-world situations. Furthermore, ChatGPT can provide real-time feedback and analysis to trainees, identifying areas where they may be making mistakes or struggling and providing targeted feedback and suggestions for improvement. This targeted approach can accelerate the learning process, ensuring trainees are fully prepared for any situation they may encounter in the real world.

Here are a few ChatGPT example questions learners could ask…

I am a Flight Crew Member on the Airbus A350, and I feel I could do with a little bit of revision on the Unreliable Airspeed Memory Item. Can you help me?

Of course! As an AI language model, I’d be happy to help you with your revision on the Unreliable Airspeed Memory Item for the Airbus A350. Below is a summary of the steps for the memory item:

  1. Autopilot and autothrust – OFF
  2. Flight Directors – OFF
  3. Thrust – MAN TOGA
  4. Bank Angle – MAX BANK 15 degrees or current bank angle, whichever is lower.
  5. Pitch Attitude – PITCH 5 degrees nose up or current pitch attitude, whichever is higher.
  6. Verify speed trend indication and altitude trend indication for consistency and possible conflicts.
  7. If possible, cross-check with other instruments such as GPS, radio altimeter, and inertial reference system.

I hope this helps with your revision, but please remember to always refer to the official Airbus documentation and follow your company’s procedures for handling unreliable airspeed situations.

I am a cabin crew member on the Airbus A320, and I have a passenger who has fainted in the aisle. What should I do?

If a passenger has fainted in the aisle of an Airbus A320, as a cabin crew member, your first priority is to ensure the safety and well-being of the affected passenger, as well as the other passengers on board. Here are the steps you can take:

  1. Call for medical assistance: If you are not a medical professional, call for a doctor or other medical personnel on board. If there is no medical personnel on board, contact the ground medical services for assistance.
  2. Approach the affected passenger: Approach the affected passenger and gently try to wake them up. Make sure they are lying flat on their back and their airway is clear.
  3. Check the passenger’s vital signs: Check the passenger’s pulse and breathing. If the passenger is not breathing, perform cardiopulmonary resuscitation (CPR) if you are trained to do so.
  4. Move the passenger to a more comfortable position: If the passenger is breathing and conscious, you may help them sit up, if possible. If the passenger is not breathing, do not move them unless it is absolutely necessary.
  5. Administer first aid if needed: If the passenger has any injuries or needs first aid, administer first aid as per your training.
  6. Provide oxygen if necessary: If the passenger is having difficulty breathing, provide oxygen if available.
  7. Reassure the passenger: Reassure the passenger and keep them calm. Explain to them what has happened and what you are doing to help.
  8. Document the incident: Record the incident in the cabin logbook or any other documentation required by your company’s procedures.

It’s important to remember that handling a medical emergency can be a stressful situation, so it’s important to stay calm and follow your training and company’s procedures. If you are unsure about what to do, seek guidance from other experienced crew members or contact the cockpit for assistance.

I am a Flight Dispatcher, and I am dispatching an Airbus A320 from Barcelona to Rejkjavik, close to MTOW. Rejkjavik has the following meteorological conditions: RVR of 350m, Overcast 100 feet. What should I consider?

As a Flight Dispatcher, when dispatching an Airbus A320 from Barcelona to Rejkjavik with close to maximum takeoff weight (MTOW) and given the meteorological conditions at the destination airport, there are several factors you should consider.

  1. Performance: The reduced runway visibility (RVR of 350m) and low overcast clouds (100 feet) can affect aircraft performance, especially during takeoff and landing. It’s essential to ensure that the aircraft’s takeoff and landing performance calculations take into account these factors.
  2. Alternate Airport: With reduced visibility and low clouds at the destination, you should consider having an alternate airport in case of a diversion. The alternate airport should have better meteorological conditions, and the aircraft should be able to operate safely to and from the alternate.
  3. Fuel: Since the aircraft is close to MTOW, it’s important to ensure that there is enough fuel for the flight, including contingencies and any potential diversions. You should also consider the possibility of holding due to traffic or weather conditions at the destination.
  4. Crew Briefing: The flight crew should be briefed on the meteorological conditions at the destination and the impact on aircraft performance. The briefing should also cover the potential need for a diversion and any specific procedures or limitations that may apply.
  5. Communication: You should maintain communication with the flight crew and monitor the meteorological conditions at the destination airport continuously. If the conditions deteriorate, you may need to consider delaying or canceling the flight.

In summary, when dispatching an Airbus A320 from Barcelona to Rejkjavik with close to MTOW, and with reduced visibility and low clouds at the destination, you should consider the aircraft’s performance, the need for an alternate airport, fuel, crew briefing, and continuous communication with the flight crew. By taking these factors into account, you can ensure a safe and efficient flight.

ChatGPT also has the potential of changing the way we search. As an AI language model, ChatGPT can provide a more natural and conversational way to find information. With ChatGPT, users can ask questions or provide context for their search, making it easier to find the specific information they need. In fact, most tech giants are racing to integrate this technology (or competing AI tech) into established search engines, such as Microsoft to Bing and Baidu in China. The aviation and mobility industry, including training and education, will not be external to the social, economic and user habits which will result from this global phenomenon – resulting in a completely new way in which aviation professionals can search for information.

If the technology is integrated well into established and new training programmes, ChatGPT can provide an engaging and interactive learning experience for trainees, helping to keep them interested and motivated. But it can also help reduce training costs by reducing learning time, and improve training effectiveness by presenting more focused, and adaptive, information based on the learner’s knowledge and skills. It can offer aviation professionals the opportunity to practice a wide range of scenarios and receive real-time feedback, identifying areas where they need to improve and making the learning process more efficient.

As air travel continues to evolve, it will be essential that aviation professionals keep up-to-date with the latest procedures, technologies, and regulations, as well as possess the necessary skills to adapt to a highly volatile environment. ChatGPT can help bridge the skills gap and provide scalable and accessible training support for the future of air travel. At RAVEN, we are committed to help this happen. Stay tuned!

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