position for example their work? we have already taken a position for example that their work? we have already taken a position for example that we - their work? we have already taken a position for example that we will. position for example that we will not alter pictures. let s say we had a white actor, not convert that white actor into a black actor or vice versa. we have already put in to place ethical protocols that we think are important. this comes back to the self regulation point. it is hopeless for the regulator in my view to believe that he or she can keep up with this. what the governments have to do, regular to have to do, is to put pressure on the tech companies to behave in a totally responsible way for having said that, there will always be bad actors. do i think that in next years presidential election, some nefarious people will be using ai years presidential election, some nefarious people will be using al to generate fake images or fake adverts orfake interventi
line workers sounded, worried about their work. line workers sounded, worried about theirwork. democracies line workers sounded, worried about their work. democracies fear the power of misinformation and deep lakes and some of the most distinguished people building the tech voicing their fears. the people behind jack gpt and others all signing a letter stating that mitigating the risk of extinction from al should be a global priority. that certainly makes you think. all part of the reason why people and countries are approaching ai with a mixture of fear and excitement. optimism and concern put into numbers in one recent survey of workers, with over a third saying that they thought their jobs were likely to be eliminated by artificial intelligence. front line
access issues from the get go. it is not a replacement of human skills, it is an augmentation where we just don t have critical infrastructure at a fast enough pace. to give you an example, in communities where front line workers are overworked, exhausted, do not have the right tools, this technology can help people take that first step a little bit easier and connect to the right services. this is about augmentation in those communities. what we are not seeing being solved with al though is the lack of digital infrastructure, where conductivity is already an issue, it does not. it limits the use of ai in many ways. i would say there is a real need to improve the underlying infrastructure, so we can start using and reaping the benefits of ai for everyone. using and reaping the benefits of ai for everyone- using and reaping the benefits of ai for everyone. where do you see the most potential. for everyone. where do you see the most potential, from for everyone. where do you see the
them? just briefly, i think there are five big them? just briefly, i think there are five big positives. them? just briefly, i think there are five big positives. the - them? just briefly, i think there | are five big positives. the verses we are going to see an improvement in productivity of copywriting and visualisation. basically, we will be able to produce copy and adverts faster, two weeks down to two days. we will be able to personalise even more effectively. we are able to do that already but it is going to be super productive, instead of producing 1.5 million assets for a campaign, potentially, we can produce multi million assets for a campaign thirdly, media planning, i presume will be revolutionised soppy will no longer need 10,000 people around the world. you ll be able to do it algorithmically and the people will have very sophisticated data to base their planning decisions on. we are going to be able to use ai base their planning decisions on. we are going to be able t
enough to cope with new technologies that come along and we can work out how to manage them in the future. even though we don t know what they are yet. even though we don t know what they are et. ., ., ,.. ,., are yet. you are scaring me in some wa s, but are yet. you are scaring me in some ways. but i are yet. you are scaring me in some ways. but i will are yet. you are scaring me in some ways, but i will end are yet. you are scaring me in some ways, but i will end on are yet. you are scaring me in some ways, but i will end on that. - are yet. you are scaring me in some ways, but i will end on that. a - are yet. you are scaring me in some ways, but i will end on that. a real i ways, but i will end on that. a real pleasure having you on the show. thank you for your time. 0k, thank you for your time. ok, so far thank you foryourtime. ok, so far in thank you for your time. ok, so far in the show, we have been judging the risks and rewards of artificial intelligence and my next gue