artificial one of the key things we have picked up on is the increasing use of us to pick up on al the increasing use of us to pick up on a! at work. decisions about how people do they work, who to do it with, how quickly they have to do it and then also even decisions significant as whether or not they use or keep a job. might lose or keep theirjob. in 2018, taxi driver alexander joined uber. like most uber drivers he had never actually met his boss. met his boss. you work a lot and the only met his boss. you work a lot and the only source - met his boss. you work a lot and the only source of- and the only source of information could be your own experience and maybe chatting with other drivers. with other drivers. everything is done through with other drivers. everything is done through his with other drivers. everything is done through his uber - with other drivers. everything is done through his uber app. thenin is done through his uber app. then in the summer of 2021 he
technology take machines beyond human? hello, good to meet you. thank you for having us. thanks very much. neuroscientist alexander has spent a decade trying to understand how the rain works. iiii trying to understand how the rain works- trying to understand how the rain works. if we want to build intelligent rain works. if we want to build intelligent machines, - rain works. if we want to build intelligent machines, maybe i rain works. if we want to build i intelligent machines, maybe we want to make things that act more like human brains. that is kind of what the into neuroscience actually. this ear his neuroscience actually. this year his team neuroscience actually. this year his team had - neuroscience actually. this year his team had a - year his team had a breakthrough. using the same a! take that can understand language, they built a computer that can read minds. hide language, they built a computer that can read minds. that can read minds. we scan eole s that can read mi
as well as what you are saying. from those basic ingredients of your behaviour, we then determine, for example different local conditions you might have or emotion you might be displaying. this might have or emotion you might be displaying- be displaying. this tack is currently be displaying. this tack is currently being be displaying. this tack is currently being trialled i be displaying. this tack is i currently being trialled with nhs trust in nottinghamshire to help assess the mental health of pregnant women. of pregnant women. they are ve bad of pregnant women. they are very bad at of pregnant women. they are very bad at picking of pregnant women. they are very bad at picking up - of pregnant women. they are | very bad at picking up gradual changes, this technology is objective and repeatable and it will improve as you start doing the treatment. will improve as you start doing the treatment. you think people are ready for the treatment. you think people are ready for
trees silver pencil of light and. trees and silver pencil of light and. trees and houses stretching as far as the eye can see were scorched. far as the eye can see were scorched- far as the eye can see were scorched. , , scorched. and this is the text ofthe scorched. and this is the text of the al scorched. and this is the text of the ai created scorched. and this is the text of the ai created from - scorched. and this is the text of the ai created from the . of the ai created from the brain scan. of the ai created from the brain scan. , ., brain scan. the decoded version which misses brain scan. the decoded version which misses a brain scan. the decoded version which misses a lot brain scan. the decoded version which misses a lot of brain scan. the decoded version which misses a lot of things - which misses a lot of things but got some of the good stuff, fired the bullets and then i had a huge crack is a large piece of concrete hit my forehead and a giant ball of fi
massive use of ai. even those at the cutting massive use of ai. even those at the cutting of massive use of ai. even those at the cutting of ai massive use of ai. even those at the cutting of ai research . at the cutting of a! research have been at how quickly technology has evolved. i could not have expected technology has evolved. i could not have expected that - technology has evolved. i could not have expected that we i technology has evolved. i could. not have expected that we would progress as quickly for al not have expected that we would progress as quickly for a! as a few years ago. i wish i had been paying more attention to the questions of loss of control but now that i do, i feel a sense of responsibility to explain my understanding of what could go wrong. it is to explain my understanding of what could go wrong. what could go wrong. it is no loner what could go wrong. it is no longer in what could go wrong. it is no longer in the what could go wrong. it is no