So it has established its own ethical and wellness standards for data anna annotated. machines are sifting through and analysing fast quantities as the accelerating pace of ai development, already leading to computers acquiring the first human skill, language. we are at a critical human skill, language. we are at a criticaljuncture human skill, language. we are at a criticaljuncture in - human skill, language. we are at a criticaljuncture in the - at a criticaljuncture in the sense that we now have machines that understand language, can manipulate language, even past four humans for a while with most people, and that was a milestone for aia.- milestone for aia. having mastered milestone for aia. having mastered language, - milestone for aia. having mastered language, ai i milestone for aia. having mastered language, ai is| milestone for aia. having - mastered language, ai is now mastered language, a! is now beginning to master other human skills like reading emotions.
Gets to you, the core production ethos of how ai is made, which is collect it all and figure it out later. iii and figure it out later. if machines are learning from what is on the internet, material thatis is on the internet, material that is harmful needs to be filtered out, and much of that work still needs the scrutiny and judgement of humans. and udgement of humans. there are and judgement of humans. there are certainly and judgement of humans. there are certainly countries and judgement of humans. there are certainly countries where - are certainly countries where this type of outsourced labour is most commonly located, china, malaysia, kenya, some examples but indeed it is a growing market for people to be really doing this extremely difficult, extremely traumatising work, so in a sense, it maps to a global north, globalsales sense, it maps to a global north, global sales dynamic of extraction and exploitation of labour for these systems. this.
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