Generative Artificial Intelligence (AI) has the potential to revolutionize the air civil aviation sector by providing new and innovative solutions for various applications such as flight optimization, predictive maintenance, traffic management, customer service and environmental monitoring. Generative AI models, Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) are some examples of AI techniques that can generate new and original content, as opposed to simply recognizing or classifying existing content. This can enable the aviation industry to create more efficient, safe and sustainable air travel for people and goods. However, it also raises some ethical concerns, such as the ability to create deepfakes, or the difficulty of identifying the authenticity of the generated content. Therefore, it is important that regulatory and ethical frameworks are in place to ensure the safe and secure usage of Generative AI in the air civil aviation sector.