They have gone around the world - on social media, on specialized sites, on TV stations - the images of the Boeing 787 of Chinese Hainan Airlines with an engine on fire over the skies of Fiumicino airport. It was Sunday, November 10, 2024. The engine mangled several crossed herring gulls in the very delicate takeoff phase. The fire is a direct effect of the collision with these stout birds. To prevent new accidents, the National Civil Aviation Authority (ENAC) will now play the Artificial Intelligence card. ENAC experts and university researchers will try to create an advanced algorithm capable of defining a "risk index" for each airport at different times of a specific day. The algorithm will operate like an intelligent Aladdin's Lamp - with "predictive" purposes of the clashes.  And to do that it will have to be fed with information from the past and present. ENAC already has a wealth of historical data on what has happened at domestic airports, from Alghero to Verona, from 2017 to the present, including in terms of accidents. It has a clear picture of the 549 species of birds that inhabit the Italian skies. It already knows their habits and behaviors depending on the time of day. Cross-referencing each day's data - including weather - and historical data will make it possible to define this "risk index" and put airports on alert if it exceeds certain safety thresholds. Aircraft-wildlife collisions are a worldwide problem, generating significant costs. To date 804 people have died as a result of this phenomenon (renamed wildlife strikes) and 739 aircraft have been destroyed, including civilian and military aircraft.