Interpretare il cambiamento climatico attraverso l’intelligenza artificiale. Una prospettiva semiotica

These pages aim to reflect on the defining characteristics of artificial intelligence in order to account for the interpretive habits with which we relate to scientific knowledge when it passes through systems using these technologies. From this initial position, we set up a semiotic gaze to account for the challenges we face using artificial intelligence systems for climate change risk assessment. Thinking of big data collections on climate change as archives that, depending on selection criteria, can become the databases needed to train artificial intelligence, will bring out the need to reflect on the epistemic frontier that organizes data.