to destroyjobs, kill industries and could even blow up the world. others say it could help cure disease, create newjobs and even help solve global warning. where should we be opening our arms to artificial intelligence and where should we be keeping it at arm s length and who should be making those decisions? i am going to find out from these two. one of the founders of ai for goat and one of the world apostle vs leading computer who has helped shape the official uk strategy. also a legend from the advertising world. he built the world are possibly s biggest advertising company for soppy talks about how this technology is helping change his industry already.
together and globally regulate this technology? ida. together and globally regulate this technolo: ? ., ~ together and globally regulate this technolo: ? ., ~ ., , technology? no, i think we have seen it for example technology? no, i think we have seen it for example the technology? no, i think we have seen it for example the american - it for example the american regulator, it is trying to unravel a deal that google did ten years ago. the regulator tends to always be reactive and looking backwards. they lack the resources to do that. if the government was prepared to pile infinite resources into eight, in terms of people and knowledge and data and maybe they might be, but what they have to do is work with the industry. in what they have to do is work with the industry- what they have to do is work with the indust . . , ., ., the industry. in a nutshell, who are the industry. in a nutshell, who are the winners the industry. in a nutshell, who are the winners and the industry.
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
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
show. let s start with this, because there seems to be a great deal. the fear of missing out. everybody rushing in and it does feel like a rash. is the technology that is there now, is it ready for all of this? ., ~ there now, is it ready for all of this? ., . ., ., this? no. well, i mean, if we are talkin: this? no. well, i mean, if we are talking about this? no. well, i mean, if we are talking about al, this? no. well, i mean, if we are talking about al, then this? no. well, i mean, if we are talking about al, then ai - this? no. well, i mean, if we are talking about al, then ai has - this? no. well, i mean, if we are| talking about al, then ai has been around a long time and we all use in our every day lives, facial recognition, predictive text, all the things we use on our phones, it is all driven by ai, different types of technologies that have been involved in research labs for a long time. i am involved in research labs for a long time. iam beginning involved in research l