How AI works is often a mystery — that's a problem
The inner workings of many AIs are mysterious, but with increasing use of such technologies in high stakes scenarios, how should their inscrutable nature be dealt with?
Nature Podcast · [email protected]
Audio is streamed directly from the publisher (sphinx.acast.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Many AIs are 'black box' in nature, meaning that part of all of the underlying structure is obfuscated, either intentionally to protect proprietary information, due to the sheer complexity of the model, or both. This can be problematic in situations where people are harmed by decisions made by AI but left without recourse to challenge them.
Many researchers in search of solutions have coalesced around a concept called Explainable AI, but this too has its issues. Notably, that there is no real consensus on what it is or how it should be achieved. So how do we deal with these black boxes? In this podcast, we try to find out.
Hosted on Acast. See acast.com/privacy for more information.