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Will AI Eat Itself?

As AI content spreads across the digital world Aleks and Kevin uncover what happens when models start training on their own output and what can be be done to stop them collapsing.

Listener Gordon is worried that as AI content spreads across the web there'll be proportionally less and less human content for the AI’s to be trained on with the result their output will just get blander and blander.

He’s right to be worried, Aleks and Kevin explore the phenomena of ‘model collapse’ the inevitable breakdown of an AI to give useful results if its training data is already AI produced. Speaking to NYU data scientist Professor Julia Kempe the pair discover that training on AI generated data also means a brick wall in terms of improving AI performance.

There is hop however according to Shayne Longpre of the Data Provenance Initiative the answer is to put humans back in the loop to curate the data for the AI’s and teaching them what’s good data from bad.

Presenters: Aleks Krotoski & Kevin Fong
Producer: Peter McManus
The Artificial Human is a Â鶹¹ÙÍøÊ×Ò³Èë¿Ú Audio Scotland production for Radio 4

Release date:

29 minutes

On radio

Wednesday 15:30

Broadcast

  • Wednesday 15:30

Podcast