this is bbc news. we will have the headlines and all the main news stories for you at the top of the hour, straight after this programme. this week, we are taking a deep dive into artificial intelligence, and how it's transforming the world around us. . transforming the world around us, ., ., transforming the world around us. . ., . , ., us. yeah, that includes an healthcare _ us. yeah, that includes an healthcare where - us. yeah, that includes an healthcare where we - us. yeah, that includes an| healthcare where we meet us. yeah, that includes an - healthcare where we meet the aia were helping radiologist to diagnose cancer. you aia were helping radiologist to diagnose cancer.— diagnose cancer. you can see there little — diagnose cancer. you can see there little white _ diagnose cancer. you can see there little white dots, - diagnose cancer. you can see there little white dots, the i diagnose cancer. you can see there little white dots, the ai i there little white dots, the ai is highly— there little white dots, the ai is highly suspicious. in there little white dots, the ai is highly suspicious.— is highly suspicious. in the fast moving _ is highly suspicious. in the fast moving game - is highly suspicious. in the fast moving game of- is highly suspicious. in the fast moving game of ai . is highly suspicious. in the - fast moving game of ai artwork, who owns white and can artists protect their work? for some

time artificial intelligence has been all around us. you may not have noticed _ has been all around us. you may not have noticed it _ has been all around us. you may not have noticed it but _ has been all around us. you may not have noticed it but your - not have noticed it but your video streaming services, social media feeds, the maps on your smart phones, they have all been steadily improving their performance, because the computers behind them have been learning. computers behind them have been learnina. ., , computers behind them have been learnina. . , , ., learning. then last year, something important - learning. then last year, - something important happened. ai got human, or at least it felt like it did.— felt like it did. companies like google _ felt like it did. companies like google and _ felt like it did. companies like google and open - felt like it did. companies like google and open ai l felt like it did. companies - like google and open ai started showing off a stunning photorealistic images like these all created by ai from short text descriptions, and then ai started having conversations with us, they were starting to generate stuff that felt human. this field of generative ai seems to have exploded so quickly. chat gtp

is the single fastest—growing application in human history. and it keeps getting better. the latest version, gtpli seems to be able to look at a picture and work out what would happen next. and just look at what the latest ai image generators can do. notjust still pictures, but remarkably good videos as well. this short film was created by one user simply by typing carefully worded text descriptions into his phone. i think the reason many people are now paying attention to ai is that it is finally behaving like the ai we were promised in the movies, computers that we can chat to and then i doing humanlike things.— can chat to and then i doing humanlike things. that's why it has created _ humanlike things. that's why it has created a _ humanlike things. that's why it has created a really _ humanlike things. that's why it has created a really emotive i has created a really emotive response in a way that none of the ai built into the device all around us ever managed to. that's where the danger lies. if it behaves like a human, it's reasonable to assume that

it's reasonable to assume that it thinks like a human. but it doesn't. you know those predictive tax functions on your phone? please try to guess the most likely next word in the most likely next word in the sentence based on what you have typed so far. in really simple terms, that is what these jackpots are doing. they have read millions and billions of sentences online and they have learned what a good sentence looks like, that's why they sound so human, the sentence structure is really good but there is no guarantee that they will get the facts right, because they don't understand what they are saying. image generators don't understand what they are drawing. for example, microsoft's a being ap now uses the dali image generator. i asked to draw me my initial label liquid metal and it made this. pretty decent. event said would you like me to add some

sparks to it, and i said why not, and it turned it into this. i mean... where did the ass go? the reason is it doesn't know what a letter as is. it doesn't think like a human, it doesn't understand anything. but ai generators like mid journey can do wonderful and weird things, and that's the main weakness here, and why we can't trust it. if ai can create anything, then how do we know what is real? i don't think the pope ever went out dressed like this. but if we use it wisely, there is immense possibility, it can crunch data like no humans can and never has that been more important than an healthcare. june works as a healthcare assistant, she knows how important breast cancer screening is. icu have had

previous surgery before? that's riuht. previous surgery before? that's right- june _ previous surgery before? that's right- june is — previous surgery before? that's right. june is having _ previous surgery before? that's right. june is having a _ previous surgery before? that's right. june is having a low - right. june is having a low level may _ right. june is having a low level x-ray performed, i right. june is having a low i level x-ray performed, part of level x—ray performed, part of a local breast programme called gemini. irate a local breast programme called gemini. ~ ., , a local breast programme called gemini. ~ . , ~ gemini. we are running this al to see whether— gemini. we are running this al to see whether it _ gemini. we are running this al to see whether it is _ gemini. we are running this al to see whether it is able i gemini. we are running this al to see whether it is able to i to see whether it is able to pick up humans as well as humans can, that pickup cancer as well as humans can, and the ai is slightly suspicious. we want to do a biopsy on that, especially because you have had a previous history of it. its, a previous history of it. a biopsy will be performed, removing a small sample of body tissue and sending it for further tests. tissue and sending it for furthertests. here tissue and sending it for further tests. here at aberdeen royal infirmary, june's scan has been reviewed by ai software as well as human condition. we demonstrate the process using anonymized scones. , ., _ ., ., scones. obviously now, we have a lady who _ scones. obviously now, we have

a lady who has _ scones. obviously now, we have a lady who has mammograms i scones. obviously now, we have| a lady who has mammograms on her left side and right side, we are looking for differences, there is a lesion in the left breast here and of course this is something you would expect a human being, you canjust help there is something different in there is something different in the pictures, and if you click on this, you can see the button here, it circles here to check but the main area of most concern is this area circled here whether cancer is on the left side. in screening you want to pick up things that are before they become big. programmes like this one identified breast cancer in roughly six in 1000 women. radiologists known as readers examine patient scans for signs of cancer. 0n examine patient scans for signs of cancer. on average, these human readers scrutinise 5000 mammograms a year. 250— 300 patients will be called back and 30—a0 of those will require closer attention. and 30-40 of those will require closer attention.— closer attention. there is a chance that _ closer attention. there is a chance that with _ closer attention. there is a chance that with that i closer attention. there is a i chance that with that number you could miss cancers. within the rules that we have been given, we are not allowed to

use the ai automatically as part of the process yet, so we are using the ai is an extra check at the end of our reading process. in check at the end of our reading rocess. ii' ~ ., check at the end of our reading rocess. ::' ~ ., , ., process. in 2016 a private company _ process. in 2016 a private company began _ process. in 2016 a private company began training l process. in 2016 a private i company began training and ai model using hundreds of thousands of medical scans. its job, to identify breast cancer. until now ai has been intended as an assistive tool for use by two human radiologists. it has become the foundation and the technology being used in aberdeen.— technology being used in aberdeen. . , . , aberdeen. the health service is exoerienced — aberdeen. the health service is experienced at _ aberdeen. the health service is experienced at experiencing i experienced at experiencing massive staff shortages. the first clinical evaluation of its kind is being carried out here, ordinarily two human radiologists would examine every scan looking for conditions like breast cancer, but because the technology being tested here one day replace one of those human medical staff?—

replace one of those human medical staff? the goal of this evaluation _ medical staff? the goal of this evaluation is _ medical staff? the goal of this evaluation is to _ medical staff? the goal of this evaluation is to see _ medical staff? the goal of this evaluation is to see what i medical staff? the goal of this evaluation is to see what the l evaluation is to see what the best— evaluation is to see what the best way— evaluation is to see what the best way is we can work with al where — best way is we can work with al where there is replacing one of the radio— where there is replacing one of the radio apologists, orand improve _ the radio apologists, orand improve out cancer detection as a safety— improve out cancer detection as a safety net. improve out cancer detection as a safety net-— a safety net. this pro'ect is a collaboration i a safety net. this project is a collaboration between i a safety net. this project is a collaboration between the i a safety net. this project is a i collaboration between the nhs, university of aberdeen and companies, the ai model developed.— companies, the ai model developed. companies, the ai model develoed. , , ., developed. the next step of the partnership _ developed. the next step of the partnership is — developed. the next step of the partnership is we _ developed. the next step of the partnership is we are _ developed. the next step of the partnership is we are taking i partnership is we are taking our al — partnership is we are taking our ai across the uk to over 30 nhs — our ai across the uk to over 30 nhs trusts— our ai across the uk to over 30 nhs trusts to gain access to the ai — nhs trusts to gain access to the ai streaming. it nhs trusts to gain access to the ai streaming.— nhs trusts to gain access to the ai streaming. it has been a few weeks _ the ai streaming. it has been a few weeks since _ the ai streaming. it has been a few weeks since june's - the ai streaming. it has been a few weeks since june's biopsy, | few weeks sincejune's biopsy, and i caught up with her via call. i wondered and i caught up with her via call. iwondered how and i caught up with her via call. i wondered how she felt with al assisting in such a sensitive work.— with al assisting in such a sensitive work. ., ., , ., sensitive work. your images are on-screen _ sensitive work. your images are on-screen and _ sensitive work. your images are on-screen and people _ sensitive work. your images are on-screen and people are i sensitive work. your images are on-screen and people are at i on—screen and people are at them, whereas when it's an artificial intelligence, that's

artificial intelligence, that's a feeling that somebody is looking in on has gone. the biopsy showed that i do have early—stage cancer, we ea rly—stage cancer, we certainly early—stage cancer, we certainly courted at an earlier stage this time but because i have a previous history with it, i'm going to have a mastectomy, is not treatment i want to have but at the same time it is reassuring that it has been caught. screening programmes _ has been caught. screening programmes are _ has been caught. screening programmes are crucial i has been caught. screening programmes are crucial for | programmes are crucial for improving patient outcomes. for now, medicalstaff improving patient outcomes. for now, medical staff are still the first line of defence protecting against breast cancer but ai is likely to play a significant role in future life—saving efforts. that was market showing us how ai life—saving efforts. that was market showing us how aland healthcare can be really useful. 0n the flipside, when it comes to ai being used to generate things like art, it can be problematic.- generate things like art, it can be problematic. one of the big issues _ can be problematic. one of the big issues being _ can be problematic. one of the big issues being copywriter. i big issues being copywriter. who should own the images that

al creates? it's something that ai creates? it's something that ben has been investigating. ai art has taken a massive boost recently. this one sold for over $100,000 at 0xy oxen in 2018. with image generators like stable diffusion, almost anyone can create a new art in anyone can create a new art in a matter of seconds. the model that makes this are don'tjust do it out of thin air, they have learnt to mimic styles, even specific artist of a process called training, where the models injust millions, sometimes billions of images, scraped from websites all around the web, combined with text describing the images they now have a data centre let them create almost any type of image from a simple text prompt. it produces interesting stuff but the problem is many artists never give their consent for their hearts to be used in an image generator like this, so what should artists do? irate image generator like this, so what should artists do? we have seen art theft —

what should artists do? we have seen art theft before. _ what should artists do? we have seen art theft before. we - what should artists do? we have seen art theft before. we have l seen art theft before. we have never — seen art theft before. we have never seen it at this level. this— never seen it at this level. this is— never seen it at this level. this is carla 0rtiz, a concert artist in san francisco. concert artist the person who provides the first initial visuals to what could be in something in a movie. she has devised art _ something in a movie. she has devised art to _ something in a movie. she has devised art to magic _ something in a movie. she has devised art to magic the i devised art to magic the gathering and doctor marble. she discovered last year that her art had been scraped into a image data set.— image data set. especially my fine artwork. _ image data set. especially my fine artwork, anatomy - image data set. especially my fine artwork, anatomy felt i fine artwork, anatomy felt really evasive because i never gave anyone my permission to do that. �* ., , ., ., that. another popular generate . as that. another popular generate gas generator _ that. another popular generate gas generator here, _ that. another popular generate gas generator here, it's - gas generator here, it's incredibly easy to find poster generate work that looks incredibly similar to hers, and the same is true but dozens of other artists on lines earlier this year carla and a group of other artist filed a class action lawsuit against ability ai action lawsuit against ability aland other ai image generators. in the meantime carla made the decision to take

her work of the internet wherever she could, figuring it was the only way to avoid computer scrapping her work into an image data set without her consent, but what if she could still show her work online and keep it from being used to help generate new ai art? ., , , ., ., , art? honestly, we never had any idea it was _ art? honestly, we never had any idea it was such _ art? honestly, we never had any idea it was such an _ art? honestly, we never had any idea it was such an impactful i idea it was such an impactful level. , , idea it was such an impactful level. ,, ., �* level. this is professor ben chow, level. this is professor ben chow. from _ level. this is professor ben chow, from the _ level. this is professor ben chow, from the university | level. this is professor ben l chow, from the university of chicago. he and his lab say they have developed a solution. they call it lays. that they have developed a solution. they call it lays.— they call it lays. at its core, it uses the _ they call it lays. at its core, it uses the fact _ they call it lays. at its core, it uses the fact that - they call it lays. at its core, it uses the fact that there i they call it lays. at its core, it uses the fact that there is | it uses the fact that there is this jay norman's gap, difference between the way humans see visual images and how ai learning model see visual images.— how ai learning model see visual images. glaze can make chances visual images. glaze can make changes that _ visual images. glaze can make changes that are _ visual images. glaze can make changes that are almost i changes that are almost imperceptible to the human eye but that dramatically alter how a machine sees it. 50. but that dramatically alter how a machine sees it.— a machine sees it. so, if you are an artist _ a machine sees it. so, if you are an artist you _ a machine sees it. so, if you are an artist you glaze i a machine sees it. so, if you are an artist you glaze yourl are an artist you glaze your art, you can rest comfortable in knowing that a model that is trying to steal your stuff from

that piece will learn a very different style that is incorrect and what it is trying to mimic and you it will fail, hold these attacks early. $1.5 hold these attacks early. as ou can hold these attacks early. as you can see the ai artwork generated from a piece with glaze is similar in content but not stale. to learn more we asked the team to show us glaze in action. . ., asked the team to show us glaze in action. ,, ., ., .., in action. start here. you can see some _ in action. start here. you can see some changes _ in action. start here. you can see some changes already i in action. start here. you can j see some changes already on in action. start here. you can i see some changes already on the texture, this is the original and this is the glazed one. you can see the face has added changes around the painting. right, so the brushstrokes are glossier, looks like there are these kind of yellow patches of pixels in their?— these kind of yellow patches of pixels in their?- if i pixels in their? exactly. if ou pixels in their? exactly. if you had — pixels in their? exactly. if you had ladies— pixels in their? exactly. if you had ladies out - pixels in their? exactly. if you had ladies out in i pixels in their? exactly. if| you had ladies out in front pixels in their? exactly. if. you had ladies out in front of me and said tell me what is different, i would me and said tell me what is different, iwould be hard—pressed to tell you. the promise is exciting for artists

but they are taking generation like humans do. crucially there is a aren't copies of. that's why the company is being skewed, asking for the case against them to be dismissed. carla says there's not a good comparison. i carla says there's not a good comparison-— comparison. i don't see one imaue comparison. i don't see one image let — comparison. i don't see one image let alone _ comparison. i don't see one image let alone billions i comparison. i don't see one image let alone billions of. image let alone billions of imagery and instantly like archive it in my mind, and then iam able archive it in my mind, and then i am able to generate exact copies or similar copies, in the blink of an eye. some artists said they would be willing to use their work with aig image generators but they say the process should be opt in, not opt out.— in, not opt out. stability ai sa s in, not opt out. stability ai says there _ in, not opt out. stability ai says there generators - in, not opt out. stability ai says there generators will| in, not opt out. stability ai l says there generators will be opt out going forward, and adobe says its new image generator has only been trained on images from its stock library, but even that adobe contribute to say this type of usage was never explicit in their agreement. usage was never explicit in theiragreement. in usage was never explicit in their agreement. in the meantime, the internet being the internet, people are already trying to break glaze and get around it. i

already trying to break glaze and get around it.— already trying to break glaze and get around it. i am under no impression _ and get around it. i am under no impression that _ and get around it. i am under no impression that it - and get around it. i am under no impression that it will - and get around it. i am under no impression that it will last| no impression that it will last for and against every form of attack but we are hopeful that it will buy artists sometime and in the meantime, i'm hopeful that glaze will not be the only tool of its kind. for colour, that is the point to buy artists time and for the public to catch up. when people jump public to catch up. when people jump in on these and say oh, wow, we need to recognise it is wow, we need to recognise it is wow because of the work that is taken, and all of that work was taken, and all of that work was taken without their consent to use, to train these models so that they can generate that stuff that makes people go well. ai art is likely here to stay. so pressure from regulators, input from artists and informed public will be crucial to make sure these revolutionary tools are built alongside the people who helped make them possible.

that was ben, and this is this week's tech news. microsoft will have two pay $20 million to us federal regulators after it was found the company illegally collected data on children who started xbox accounts. the federal trade commission said the technology company failed to inform parents about the data it was collecting. apple has unveiled its first major hardware in almost a decade. apple vision pro. the long rumoured headset combines virtual reality and augmented reality and is controlled with eyes, hands and voices. the headset allows you to watch movies, write documents in a virtual world and even immerse yourself in your own photography. it and even immerse yourself in your own photography. it helps with the connection _ your own photography. it helps with the connection that - your own photography. it helps with the connection that you i with the connection that you still have with people, so you are fully immersed but you are not cut off by your reality. binance has been hit with another lawsuit by us financial

regulators. the securities and exchange commission says the crypto giant ignored rules that are meant to protect investors in the us. binance said it will defend the platform vigorously. and researchers at the university of cambridge have created a robot that can create eight salad recipes. the robot watched i6 eight salad recipes. the robot watched 16 videos of a human making a salad, after which it was able to copy them and prepare them itself. bon appetit. just because technology can do something, doesn't mean that we should let it. the ethical issues raised by ai a fundamental to how regulator —— how to regulate and how it becomes part of all our lives. it is time to rethink our interactions. look at the possibilities the risks. and somebody who grapples with this a lot of the time is nina, who has written books on deep fakes. nina, we can't possibly begin to know what is real and what is not now, how do we deal

with this? ., what is not now, how do we deal with this? . , ., with this? that is an existential - with this? that is an existential question | with this? that is an i existential question for society. existential question for society-— existential question for socie .�* ,, ,, society. because this is the last moment _ society. because this is the last moment in _ society. because this is the last moment in the - society. because this is the l last moment in the internet's history— last moment in the internet's history where the majority of data — history where the majority of data and _ history where the majority of data and information content we see online — data and information content we see online is not generated or created — see online is not generated or created by artificial intelligence. because we are seeing — intelligence. because we are seeing this new field of artificial intelligence, so—called generative ai, but can create content and information in every single digital— information in every single digital format, and the use cases— digital format, and the use cases of— digital format, and the use cases of generative ai are so profound, _ cases of generative ai are so profound, increasingly we will start — profound, increasingly we will start to — profound, increasingly we will start to see engaging ai made content, — start to see engaging ai made content, it is going to become ubiquitous. it content, it is going to become ubiquitous— ubiquitous. it seems like an unsolvable _ ubiquitous. it seems like an unsolvable issue. _ ubiquitous. it seems like an unsolvable issue. you - ubiquitous. it seems like an unsolvable issue. you have| ubiquitous. it seems like an l unsolvable issue. you have to take a approach _ unsolvable issue. you have to take a approach because - unsolvable issue. you have to| take a approach because there is no _ take a approach because there is no silver bullet that will fix it. _ is no silver bullet that will fix it, but you have to do kind of start — fix it, but you have to do kind of start building layers of resilience around society to navigate _ resilience around society to navigate this kind of new era of al — navigate this kind of new era of al i — navigate this kind of new era of ai. ., , ., navigate this kind of new era ofai. ., navigate this kind of new era of ai. ., i. .. ., of ai. i mean, you can imagine a world where _ of ai. i mean, you can imagine a world where people - of ai. i mean, you can imagine a world where people are - of ai. i mean, you can imagine. a world where people are fooled by ai generated images, but i can also imagine a world where

if something is true, people just won't believe it. and so someone who that image effects, may be a politician or a leader canjust say, may be a politician or a leader can just say, well, may be a politician or a leader canjust say, well, that may be a politician or a leader can just say, well, that is fake news and even though its general and, fake news and even though its generaland, because fake news and even though its general and, because there is so much the outcast throughout society. —— genuine. that so much the outcast throughout society. -- genuine.— society. -- genuine. that is a phenomenon _ society. -- genuine. that is a phenomenon loan _ society. -- genuine. that is a phenomenon loan -- - society. -- genuine. that is a phenomenon loan -- known i society. -- genuine. that is a. phenomenon loan -- known as society. -- genuine. that is a - phenomenon loan -- known as the phenomenon loan —— known as the liar's_ phenomenon loan —— known as the liar's dividend. it is not only that— liar's dividend. it is not only that every— liar's dividend. it is not only that every piece of content or text— that every piece of content or text can — that every piece of content or text can now be generated with al so_ text can now be generated with al so you — text can now be generated with al so you can text can now be generated with also you can "simply —— synthesised" or fake anything, it is also — synthesised" or fake anything, it is also the understanding everything can be created by ai that undermines the integrity of everything that is authentic.— of everything that is authentic. �* , ., , authentic. but should there be one source _ authentic. but should there be one source of— authentic. but should there be one source of international - authentic. but should there be | one source of international way that things are done, is that even possible?— that things are done, is that even possible? the eu ai act will be the — even possible? the eu ai act will be the first _ even possible? the eu ai act will be the first international| will be the first international regulatory piece on al which will probably set standards for the rest — will probably set standards for the rest of the world. as for an international body, ijust don't — an international body, ijust don't think that is likely. when _ don't think that is likely. when it— don't think that is likely. when it comes tojobs, it's when it comes to jobs, it's obviously going to change the

nature of what jobs obviously going to change the nature of whatjobs are available. somejobs may no longer exist, other newjobs will emerge. many people are trained up to do thatjobs that exist in current society, so how do we deal with that? i how do we deal with that? i think the impact is going to be -et think the impact is going to he get than — think the impact is going to he get than the industrial revolution. i think the labour market— revolution. i think the labour market will be fundamentally different. now there is this debate _ different. now there is this debate going on about, is this going — debate going on about, is this going to — debate going on about, is this going to augment us or will automate us? it will become a very— automate us? it will become a very political issue because it will he — very political issue because it will be both. and the really interesting thing is that this is true — interesting thing is that this is true now for the first time for white—collar work. do is true now for the first time for white-collar work. do you think there _ for white-collar work. do you think there actually _ for white-collar work. do you think there actually is - for white-collar work. do you think there actually is a - for white-collar work. do you j think there actually is a worry that we are giving more control over to automated systems because they are just faster and better than us? and then every so often something goes wrong, a bit like the financial crisis. ,, ~' wrong, a bit like the financial crisis. ,, ~ ., �* , wrong, a bit like the financial crisis. ,, ~ ., �*, ., crisis. sure, i think that's a legitimate _ crisis. sure, i think that's a legitimate concern. - crisis. sure, i think that's a legitimate concern. it's - crisis. sure, i think that's a i legitimate concern. it's really important to recognise that these — important to recognise that these systems are fallible. they— these systems are fallible. they are not purveyors of the truth, — they are not purveyors of the truth, they are not omnipotent, they—

truth, they are not omnipotent, they are — truth, they are not omnipotent, they are not gods, they are just— they are not gods, they are just as _ they are not gods, they are just as good as the training data — just as good as the training data and _ just as good as the training data and as it turns out, you can — data and as it turns out, you can already see with chatgpt there — can already see with chatgpt there is— can already see with chatgpt there is propensity to lie, to hallucinate, to make some stuff up. hallucinate, to make some stuff up. they — hallucinate, to make some stuff up. they are not infallible. by giving — up. they are not infallible. by giving these machines undue sentience or capabilities, i think— sentience or capabilities, i think we are actually stripping away— think we are actually stripping away our— think we are actually stripping away our own agency and that is that these — away our own agency and that is that these systems are still very— that these systems are still very much in the control of organisations and people, and over— organisations and people, and over the — organisations and people, and over the next few years, months and years. — over the next few years, months and years, we will have a chance _ and years, we will have a chance to _ and years, we will have a chance to think clearly and strategically about how they are going to be integrated into society~ — are going to be integrated into socie . ., are going to be integrated into socie . . . ., ., society. thanks so much nina, a lot to think— society. thanks so much nina, a lot to think about. _ society. thanks so much nina, a lot to think about. and - society. thanks so much nina, a lot to think about. and now - society. thanks so much nina, a lot to think about. and now for l lot to think about. and now for a creative look at what could happen if ai did start to take over. ., ., happen if ai did start to take over. . ., , ., over. yeah, we have been to the misalignment — over. yeah, we have been to the misalignment museum _ over. yeah, we have been to the misalignment museum in - over. yeah, we have been to the misalignment museum in san . misalignment museum in san francisco which aims to educate people about al and it features... paperclips. lots of paperclips. the paperclip maximiser problem

is a thought experiment that thinks that if nai was to create paperclips, it would use all the resources in the world and destroy humanity to create more paperclips. the and destroy humanity to create more paperclips.— and destroy humanity to create more paperclips. the concept of the museum — more paperclips. the concept of the museum is _ more paperclips. the concept of the museum is it _ more paperclips. the concept of the museum is it is _ more paperclips. the concept of the museum is it is a _ more paperclips. the concept of the museum is it is a post - the museum is it is a post apocalyptic world where ai has destroyed most of humanity and it realised that was bad and so it realised that was bad and so it created this new type of memorial. i it created this new type of memorial.— it created this new type of memorial. . . . . memorial. i created the church of dbt for _ memorial. i created the church of dbt for this _ memorial. i created the church of dbt for this museum. - memorial. i created the church of dbt for this museum. the i of dbt for this museum. the idea — of dbt for this museum. the idea is— of dbt for this museum. the idea is you _ of dbt for this museum. the idea is you can pray for confess _ idea is you can pray for confess your sins to this ventral— confess your sins to this ventral or incredibly spiteful rohot— ventral or incredibly spiteful robot of— ventral or incredibly spiteful robot of the future. yes unfortunately i have been using — yes unfortunately i have been using them for gaming a set of deep _ using them for gaming a set of deep learning. it is a great sin, — deep learning. it is a great sin. i— deep learning. it is a great sin, i know. i'm very sorry. so this piece is called spam

bot. they are collectively typing up and ai generated version of "brave new world". this artist was trying to draw attention to the increased proliferation of spam as ai is able to create more and more content. this is an ai generated music composition. it was programmed to write music in response to bacteria growing in response to bacteria growing in a petri—dish. it also raises a lot of questions about ip and copyright ownership, with the advent of this powerful technology. the museum right now is a pilot we are actively using to try and develop a founding donor base to get a permanent donation —— location. the idea is to have ten different rooms, it will be an immersive experience that tells part of the story of the development of ai and alternative futures we could have both positive and potentially scary. i think it is up to us to make the future

that we want.— that we want. what a great visualisation _ that we want. what a great visualisation of _ that we want. what a great visualisation of what - that we want. what a great visualisation of what ai - that we want. what a great i visualisation of what ai might do, if it all goes wrong.- do, if it all goes wrong. let's t and do, if it all goes wrong. let's try and make _ do, if it all goes wrong. let's try and make sure _ do, if it all goes wrong. let's try and make sure that - do, if it all goes wrong. let's i try and make sure that doesn't happen, people, right? we're all in agreement. thanks for watching and we will you soon. hello. it's going to be be a hot weekend for some of us, as temperatures are expected to reach 30 celsius in some towns and cities, and we almost reached 30 degrees in northern parts of wales on friday. but it's not unusual to get these sort of temperatures injune — in fact, if you look at the past years, we've regularly approached the low to even mid 30s. so where is this hot weather coming from? as you might expect, from the southern climes. notjust quite hot air, but also humid air — and we'll notice

the humidity rising as we go through the course of the weekend, some really balmy nights on the way. so the forecast for the early morning on saturday — some cloudier skies in the northeast, a few showers in the southwest, but elsewhere, a lot of clear, sunny weather to start the day. temperatures around 15 degrees in plymouth. so, the forecast, then, for the morning shows lots of sunshine, perhaps those few showers lingering there in the southwest. but through the morning into the afternoon, shower clouds will start building across parts of wales and central england — here's a close—up of the midlands, here's birmingham — we could see some nasty downpours in places with hail and thunder and gusty winds, but in between, large gaps of sunny weather. so it'll be very difficult to forecast exactly where these showers will occur, but we're sure of the area — and this is the area here. but elsewhere, a lot of sunshine on the way, and those temperatures rocketing to about 30 celsius, i think, in the hottest spots, but around coastal areas, we're talking more like the low 20s. and that really balmy night's to come on saturday night —

in fact, at 10pm, temperatures in some towns and cities will still be hovering around 20 celsius. here's the forecast for sunday — again, a lot of sunshine around, very warm, very humid, but i think a greater chance of catching some showers and thunderstorms across many western parts of the uk. and remember, hail, thunder, and gusty winds, and then it's back to sunshine again, so a bit of a mixed bag in some areas. the temperatures should reach the high 20s, but again, in some coastal areas, we're talking about the low 20s, so really quite fresh. and the outlook for the week ahead shows the warm weather continuing, but a bit of a mixed bag at times with a few showers continuing into monday. wherever you are, have a good weekend.

live from washington. this is bbc news. welcome to viewers on pbs in america. in the closet,

ballroom and shower —