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BBC News

be aware _ settlement relation, people may not be aware of — settlement relation, people may not be aware of what _ settlement relation, people may not be aware of what is _ settlement relation, people may not be aware of what is going _ settlement relation, people may not be aware of what is going on. - settlement relation, people may not be aware of what is going on. that. be aware of what is going on. that is the _ be aware of what is going on. that is the point — be aware of what is going on. that is the point of— be aware of what is going on. that is the point of both _ be aware of what is going on. that is the point of both the _ be aware of what is going on. that is the point of both the wall - be aware of what is going on. that| is the point of both the wall street journal— is the point of both the wall street journal article _ is the point of both the wall street journal article and _ is the point of both the wall street journal article and the _ is the point of both the wall street journal article and the other- journal article and the other article — journal article and the other article culture _ journal article and the other article culture attention - journal article and the other article culture attention to. i journal article and the other. article culture attention to. let journal article and the other article culture attention to. let me ask ou article culture attention to. let me ask you about _ article culture attention to. let me ask you about al _ article culture attention to. let me ask you about al systems - article culture attention to. let me ask you about al systems trained l article culture attention to. let me. ask you about al systems trained on personal data, the kind of data that social media platforms collect and ask routinely. we have had many a chat office on this committee of many a year but the massive amounts of personal data that the companies have having each one of us and an ai system that is trained on that individual data that knows each of us better than ourselves and also knows the billions of data points but human behaviours and language and interaction generally, can't we foresee an ai system that is extraordinarily good at determining what will grab human attention and what will grab human attention and what will grab human attention and what will keep an individual�*s attention? the war for attention, the work for clicks but is currently going on on all of these platforms

Al-systems , People , Data , Point , Article , Article-culture-journal , Settlement-relation , Article-culture-attention , Both , Settlement , Wall , Wall-street

BBC News

users views. this comes back. interacting with models changes users views. this comes back toi users views. this comes back to data _ users views. this comes back to data one of— users views. this comes back to data. one of the _ users views. this comes back to data. one of the things - users views. this comes back to data. one of the things i'm - users views. this comes back to| data. one of the things i'm most concerned — data. one of the things i'm most concerned about— data. one of the things i'm most concerned about with _ data. one of the things i'm most concerned about with gpt- data. one of the things i'm most concerned about with gpt for. data. one of the things i'm most concerned about with gpt for as| data. one of the things i'm most. concerned about with gpt for as we do not _ concerned about with gpt for as we do not know— concerned about with gpt for as we do not know what _ concerned about with gpt for as we do not know what it _ concerned about with gpt for as we do not know what it is _ concerned about with gpt for as we do not know what it is trained - concerned about with gpt for as we do not know what it is trained on. l do not know what it is trained on. sam _ do not know what it is trained on. sam mitts — do not know what it is trained on. sam mitts for— do not know what it is trained on. sam mills for the _ do not know what it is trained on. sam mills for the rest _ do not know what it is trained on. sam mills for the rest of- do not know what it is trained on. sam mills for the rest of us - do not know what it is trained on. sam mills for the rest of us do i do not know what it is trained on. i sam mills for the rest of us do not. what _ sam mills for the rest of us do not. what it— sam mills for the rest of us do not. what it is_ sam mills for the rest of us do not. what it is trained _ sam mills for the rest of us do not. what it is trained on— sam mills for the rest of us do not. what it is trained on has— what it is trained on has consequences _ what it is trained on has consequences for- what it is trained on has consequences for the i what it is trained on has. consequences for the bias what it is trained on has- consequences for the bias of the system — consequences for the bias of the system how— consequences for the bias of the system. how these _ consequences for the bias of the system. how these systems - consequences for the bias of the . system. how these systems might consequences for the bias of the - system. how these systems might lead to people _ system. how these systems might lead to people about— system. how these systems might lead to people about depends _ system. how these systems might lead to people about depends very- system. how these systems might lead to people about depends very heavily . to people about depends very heavily on what _ to people about depends very heavily on what data — to people about depends very heavily on what data is — to people about depends very heavily on what data is trained _ to people about depends very heavily on what data is trained on _ to people about depends very heavily on what data is trained on and - to people about depends very heavily on what data is trained on and so - to people about depends very heavily on what data is trained on and so wel on what data is trained on and so we need _ on what data is trained on and so we need transparency— on what data is trained on and so we need transparency about _ on what data is trained on and so we need transparency about that - on what data is trained on and so we need transparency about that and i on what data is trained on and so we| need transparency about that and we probably— need transparency about that and we probably need — need transparency about that and we probably need scientists _ need transparency about that and we probably need scientists in _ need transparency about that and we probably need scientists in their- probably need scientists in their doing _ probably need scientists in their doing analysis _ probably need scientists in their doing analysis in _ probably need scientists in their doing analysis in order- probably need scientists in their doing analysis in order to - doing analysis in order to understand _ doing analysis in order to understand what- doing analysis in order to understand what the - doing analysis in order to - understand what the political influences _ understand what the political influences of _ understand what the political influences of the _ understand what the political influences of the systems - understand what the political. influences of the systems might understand what the political- influences of the systems might be. it is influences of the systems might be. it is not _ influences of the systems might be. it is notiust— influences of the systems might be. it is not just about _ influences of the systems might be. it is notjust about politics, - influences of the systems might be. it is notjust about politics, it - it is notjust about politics, it can be — it is notjust about politics, it can be about _ it is notjust about politics, it can be about health, - it is notjust about politics, it can be about health, about . it is notjust about politics, it - can be about health, about anything. the systems— can be about health, about anything. the systems absorb _ can be about health, about anything. the systems absorb a _ can be about health, about anything. the systems absorb a lot _ can be about health, about anything. the systems absorb a lot of - can be about health, about anything. the systems absorb a lot of data - can be about health, about anything. the systems absorb a lot of data andi the systems absorb a lot of data and what they— the systems absorb a lot of data and what they say — the systems absorb a lot of data and what they say reflect _ the systems absorb a lot of data and what they say reflect that _ the systems absorb a lot of data and what they say reflect that data - the systems absorb a lot of data and what they say reflect that data and l what they say reflect that data and they are _ what they say reflect that data and they are going _ what they say reflect that data and they are going to _ what they say reflect that data and they are going to do _ what they say reflect that data and they are going to do it— what they say reflect that data and they are going to do it differently. they are going to do it differently depending — they are going to do it differently depending on— they are going to do it differently depending on what _ they are going to do it differently depending on what is _ they are going to do it differently depending on what is in- they are going to do it differently depending on what is in that - they are going to do it differentlyl depending on what is in that data. it depending on what is in that data. it makes _ depending on what is in that data. it makes a — depending on what is in that data. it makes a difference _ depending on what is in that data. it makes a difference of— depending on what is in that data. it makes a difference of the - depending on what is in that data. i it makes a difference of the change on the _ it makes a difference of the change on the wall— it makes a difference of the change on the wall street _ it makes a difference of the change on the wall street journal- it makes a difference of the change on the wall street journal as - on the wall street journal as opposed _ on the wall street journal as opposed to _ on the wall street journal as opposed to the _ on the wall street journal as opposed to the new- on the wall street journal as opposed to the new york - on the wall street journal as i opposed to the new york times on the wall street journal as - opposed to the new york times or reddit _ opposed to the new york times or reddit they— opposed to the new york times or reddit they are _ opposed to the new york times or reddit. they are largely— opposed to the new york times or reddit. they are largely trained i opposed to the new york times ori reddit. they are largely trained on all of— reddit. they are largely trained on all of the _ reddit. they are largely trained on all of the stuff _ reddit. they are largely trained on all of the stuff but _ reddit. they are largely trained on all of the stuff but we _ reddit. they are largely trained on all of the stuff but we did - reddit. they are largely trained on all of the stuff but we did not - all of the stuff but we did not understand _ all of the stuff but we did not understand the _ all of the stuff but we did not understand the composition. all of the stuff but we did not. understand the composition of all of the stuff but we did not - understand the composition of that so we _ understand the composition of that so we have — understand the composition of that so we have this _ understand the composition of that so we have this issue _ understand the composition of that so we have this issue of— understand the composition of that so we have this issue of potential. so we have this issue of potential manipulation _ so we have this issue of potential manipulation. it _ so we have this issue of potential manipulation. it is _ so we have this issue of potential manipulation. it is even - so we have this issue of potential manipulation. it is even more - manipulation. it is even more complex— manipulation. it is even more complex than _ manipulation. it is even more complex than that _ manipulation. it is even more complex than that because i manipulation. it is even more complex than that because it| manipulation. it is even more i complex than that because it is settlement— complex than that because it is settlement relation, _ complex than that because it is settlement relation, people - complex than that because it is. settlement relation, people may complex than that because it is - settlement relation, people may not

I-system , Things , It , Data , Models , One-of-us , Consequences , Bias , Rest , Gpt , Changes , Sam-altman