This article highlights a massive issue with the field of philosophy in which there's a disconnect between advancements in neuroimaging analysis and metaphysics. The author claims that physical properties define "nothing at all". Yet what they tell are extremely valuable in emulating these systems and what they can teach us with the exploding fields of ML and AI. In the last decade big improvements have been made in the field neuroimaging. Trying to put the pieces together from neuroscience and emulation to lessons learnt is hard, but possible.
There's a worrying trend that's becoming more apparent in regards to the hard problem of consciousness. New neuroimaging analysis techniques indicates that when you take away individual functional elements of how the brain, we're left not much at all. At what point does a series of embedded components become a computer? At what point does a series of neural networks become conscious?
This is going to be an issue we're going to have to address now. Where is the line of conscious for an individual to make a legal choice? Think of someone wanting assisted suicide, in which they're often in a debilitated state. A call is going needed to be made if they're sentient enough. A tough call given it carries the massive burden. If we continue improving ML and AI we're going to have to make the call from the other end as well.
There's a worrying trend that's becoming more apparent in regards to the hard problem of consciousness. New neuroimaging analysis techniques indicates that when you take away individual functional elements of how the brain, we're left not much at all. At what point does a series of embedded components become a computer? At what point does a series of neural networks become conscious?
This is going to be an issue we're going to have to address now. Where is the line of conscious for an individual to make a legal choice? Think of someone wanting assisted suicide, in which they're often in a debilitated state. A call is going needed to be made if they're sentient enough. A tough call given it carries the massive burden. If we continue improving ML and AI we're going to have to make the call from the other end as well.