On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Borrowing, appropriation and intertextuality are particularly interesting concepts to explore given the recent acceleration in art and music produced using Machine Learning. Every network which is used to create art or music functions only because it is trained on a dataset of pre-existing work. Some of these datasets may be relatively modest – Dadabots’ Relentless Doppelgänger was trained on the music of technical death metal band Archspire. Others are huge – Stability.ai’s Stable Diffusion was trained on LAION 2B-en dataset, which contains over 2 billion text-image pairs. What does ‘style’ mean in this context? How is it expressed? And who owns it?
