The development of AI depends on training data. Much of that data is scraped without consent, and a significant portion consists of works of intellectual property and the fruits of cultural production. But which cultural production is actually represented — and which is not? How is training data labelled and categorised? And what happens to AI models when human-created cultural output is no longer available as training data?
These questions lead to a deeper challenge: how do we position the arts, culture, and creative industries in an equitable manner at the table where AI is being developed and shaped? The above will be discussed in the panel Cultural Production and AI.